Our research group focuses on the chemistry of carboranes, exploring their unique electronic structures, bonding situations, and reactivity patterns, with the aim of utilizing these remarkable compounds in various fields. We employ a combination of organic and inorganic synthetic methodologies to design and prepare novel carborane-based functional materials.

Great emphasis is placed on comprehensive analytical characterization, including multinuclear NMR spectroscopy UV-Vis, fluoresence and X-ray diffraction techniques, to obtain detailed structural and electronic insight. In parallel with our experimental efforts, we perform density functional theory (DFT) calculations to rationalize our findings.
Within our current Momentum program, we focus on the cobalt-bisdicarbollide anion, a sandwich-type compound featuring carborane ligands, to uncover its unique bonding, reactivity, and potential applications.

Nonlinear dynamical phenomena are increasingly relevant in engineering systems. While methods to analyse them exist, they are often complex, time-intensive, and impractical for industrial applications. As a result, these phenomena are frequently overlooked, leading to hazardous situations and accidents across various disciplines.
Our vision is to develop analytical and numerical tools for the efficient and reliable detection of dangerous dynamical phenomena that are otherwise difficult to predict. We aim to make these tools accessible and practical for engineers, transforming their design processes to create safer and more optimized engineering systems.
A key focus of our research is local stability — the ability of a system to withstand small perturbations while remaining vulnerable to larger ones. One of our primary goals is to develop practical methods to identify the largest perturbation that does not result in undesired behavior.

Composite metal foams (CMFs) are hybrid structures in which the foam structure can be interpreted as a composite. The main advantages of CMFs are their low density, high specific strength and outstanding mechanical energy absorption.

The proposed research would deal with the production of CMFs (Work Package 1, WP1), including their mass production by die casting. During the development of CMFs, the traditional strengthening methods have reached their limits; therefore, novel techniques like reinforcement of the matrix (WP2) or the modification of the fillers (WP3) would also be studied in detail. Finally, the recycling of the CMFs is a serious question (WP4).

For the successful fulfilment and complete understanding of the above-mentioned aims, extensive microstructural and mechanical tests and their critical evaluation are needed and planned. As a result, a better understanding, as well as the broadening of the beneficial application possibilities of CMFs is expected.

We deal with fundamental research modelling and industrial research of machine tools, which are a cornerstone of our technologically driven society. The main focus of the research group to prepare for the need of the manufacturing industry describe special behaviour of new machining solutions.
There is current trend of machine tool building of using lightweight structural elements or introducing industrial robots for machining applications. Moreover, reducing mass for other e.g. avionic applications results in weaker, thinner more flexible part features that are more prone to vibration during manufacturing. Current mechanical design methodologies for slender structures are insufficient as the load-induced displacement ranges place the problem firmly in the domain of nonlinear dynamics.

The research group’s main aim is to provides data-driven mathematical base to overcome the barriers present in nonlinear dynamics description of machine tools.

The foundation of sustainable development lies in the discovery and examination of new technologies that differ from existing ones. The goal of my group is to study and develop quantum technologies, taking into account their interaction with the environment, since no quantum system is perfectly isolated from its surroundings. The environmental effect can, on one hand, be harmful to quantum coherence, while on the other hand, an appropriately tuned environment can facilitate the occurrence of novel quantum phenomena.

The group's main objectives are to understand the criticality altered by measurement, detect non- trivial quantum states in open quantum systems, and simulate arbitrary dissipative systems either by mapping onto classical systems or with the help of quantum hardware. The results are relevant for potential applications in the fields of spintronics, quantum information theory, and topological quantum computing.

The main purpose of our group is to develop quantum chemical methods which have the potential to provide the solution of the electronic Schrödinger-equation with high accuracy for systems containing several hundreds of atoms both at around their equilibrium geometry and at distorted structures. The work in this direction proceeds along three separate but interrelated tracks. First, we focus on the acceleration of local correlation calculations using explicitly correlated techniques. Second, the same problem is tackled on another front: combined local correlation-density functional theory (DFT) approximations are developed invoking range-separation and embedding techniques. Third, another major concern is the development and implementation of new multi-reference local correlation methods.

Transition to renewable energy sources is essential for the sustainable energy supply of the future. Our research group aims to address key challenges in the grid integration of variable renewable energy sources through two main areas: (1) photovoltaic (PV) power forecasting and (2) hybrid renewable energy systems (HRES).
We develop advanced probabilistic and satellite-based forecasting methods for improved prediction of weather-dependent power production and explore their use in applications such as PV plant scheduling and optimal energy storage management. In parallel, we model and optimize HRES that combine renewable energy generation with various energy storage technologies, including batteries and hydrogen systems.

Our approach integrates technical, economic, and environmental aspects through life cycle assessment (LCA). The ultimate goal is to link forecasting and system design to identify conditions where limited resources and forecast uncertainties pose the greatest risks.

Our team explores and engineers nanocircuits operating in the Quantum regime. We use novel materials with low dimensionality for these devices: 1D semiconducting nanowires and 2D van der Waals heterostructures assembled for individual layers of 2D materials. Based on these material systems we engineer hybrid nanoelectronic devices using superconducting, ferromagnetic or simple normal electrodes. The nanodevices exhibit novel, correlated or topological effects, like Cooper pair splitting, Kondo effect, Andreev bound states, special quantum Hall effects, Majorana bound states or special spin-orbit states.

Closing the product life cycle through recycling and reuse is essential for transitioning to a circular economy. The Sustainable Polymers Research Group tackles challenges in creating a circular economy for polymers, focusing on production, repair and monitoring during use, and recycling with functional redesign at end-of-life. It develops recyclable thermoset polymers and vitrimers for high-performance composites, self-reinforced composites from ε-caprolactam, and durable composite structures by enhancing non-destructive testing, integrating sensors for monitoring, incorporating healing and repair for lifespan extension. While mechanical recycling of thermoplastics is well-established, the group identifies sustainable recycling methods for hard-to-recycle polymers, including innovative polymers and fibre reinforcements. It addresses downcycling by advancing safe-by-design recycled and recyclable polymers and composites, focusing on upcycling and modelling to predict their properties.

We are interested in theoretical developments in relation with molecular spectroscopy, quantum dynamics, and theoretical chemistry.

The main aim of the project entitled BASES – Bronze Age Socio-Economic Strategies in the Central Danube region: a digital database (2500–1500 BC) is to continue and build upon the data generated by our previous multidisciplinary research project granted by the Lendület “Momentum” Programme (2015–2022). These studies concern the period contemporaneous with the age of the builders of the great pyramids in Egypt and with the Mycenaean shaft graves of Greek heroes.

The project provide databases of the latest bioarchaeological (including physical anthropological, isotope geochemical and archaeogenetic examinations), and material scientific research (archaeometry), targeting also the economic resources. This period marks a significant step in the development between the social barely differentiated egalitarian communities and the earliest states, as it is the time of the emergence of the chiefdom society; this is also the foundation period of the genetic picture of modern Europe.

The Momentum Bioarchaeology Research Team adopts an interdisciplinary approach focusing on the north-eastern region of the Roman Province of Pannonia. The research aims first to uncover and understand the biological composition and the dynamics of the population changes during the Roman era, taking into account the interrelations of its subgroups and social strata. Secondly, it investigates and gathers evidence about the living conditions, life quality, and health of the Roman and Romanized inhabitants across various settlement types (city, castellum, and village).

This is achieved through detailed anthropological, genomic, and stable isotopic analyses of residents from Aquincum (Óbuda), Solva (Esztergom), and Páty, in conjunction with archaeological hypotheses and inquiries. To gain insights into the lives of the Pannonian people, the project also utilizes archaeozoological and genetic research on domesticated animals, such as horses and camels.

Work, Society and Politics: The Culture of the Workplace in the Hungarian Model of Socialism, a Comparative Analysis

This project investigates how socialism in Hungary differed from other socialist systems by examining the workplace as a key arena of social life. It explores how work organization shaped social relations, authority, and autonomy among workers, experts, managers, and bureaucrats, and how informal economies (maszek, gmk, fusi, háztáji, kaláka) enabled alternative forms of work and consumption.
Moving beyond the worker–peasant–intellectual divide, it studies workplaces as shared social spaces linking town and countryside, industry and agriculture. Through a longue durée analysis, it traces the historical roots and legacies of Hungarian workplace cultures, offering new insights into the moral and social foundations of state socialism.

Our research group combines approaches of economics, geography, network science and computational social science. We have developed a general framework of divergence and convergence in economic and social networks that can explain urban innovation as well as the dynamics of inequalities in cities.
In the Advanced Lendület project, we aim to explore missing causal relations between co-location, urban mobility, and information flows and the networked creation of knowledge and prosperity.

We will combine innovative survey application and data donation techniques with software version-control, urban mobility, online discussion, administrative, patent, and scientific publication datasets. The research will explore the temporal and spatial dimensions and the type of social interaction and model information diffusion in networks impacting groups, companies, neighbourhoods, and cities.

We are working on problems related to nice (definable) infinite graphs and their connections to large finite ones

Our research group mainly focuses on the development of transition metal catalysts and catalysed transformations, aqueous micellar catalytic reactions, and the design of novel reagents, including fluorinated species and hypervalent iodonium salts.

The Copper Age was a time of innovation, marked by innovations such as metallurgy, the wheel, and the plough, shaping Europe’s history. Our multidisciplinary project uses 21st-century archaeological methods to explore how social relations influenced the spread of knowledge and innovation. We study these transformative changes from the individual level by combining biosocial archaeology, technological research, and social network analysis implemented in a GIS system.
The Carpathian Basin, connecting South-Eastern and Central Europe, is ideal for examining these dynamics. Early to Middle Copper Age communities (4500–3700 BCE) lived in dense networks with formal cemeteries containing richly furnished graves. Although the Early Copper Age marked the peak of metallurgy, evidence suggests these objects were not locally produced. Our analysis highlights the social links enabling access to valuable goods and technologies, revealing the exchange mechanisms that shaped innovation in the region.

The aim of our research group is to study electrocatalytic processes (electrolytic water splitting, carbon dioxide and nitrate reduction, galvanic metal deposition) that form the core of many modern technologies, especially in energy storage. With a strong background in fundamental electrochemistry, instrumentation and computation science, our group is composed of physical chemists, engineers and mathematicians developing theoretical and experimental methods, as well as automated measurement systems for studying the mechanism of electrocatalytic processes. As part of an international network of cooperating researchers, our work is mostly focused on unravelling the effects of material transport and pH shifts on the kinetics of electrode processes, both in model systems and industrial level electrolyser platforms.

The quest for new phenomena beyond the Standard Model (SM) of particle physics is undoubtedly one of the defining endeavours of today's scientific era. The LHCb Lendulet group is establishing the first semileptonic b-physics program in Hungary and is performing novel measurements for searches beyond the Standard Model at the LHCb experiment.
With the upcoming Run III dataset, the group will extend to angular measurements with potential high sensitivity to new physics. The group is also establishing an electronics lab at ELTE for the upgraded LHCb electromagnetic calorimeter (ECAL).

This lab will be used for the testing and calibration of the ECAL’s photomultiplier tubes, which is a significant contribution to upcoming LHCb upgrade towards the High-Luminosity LHC.

The MTA–ELTE Lendület "Momentum" Mixed Research Group invites applications from scholars interested in issues of interethnic, interreligious, and intercultural families in post-conflict societies. Our research explores how such families contribute to reconciliation and social cohesion by bridging ethnic, religious, and cultural divides. Through examining their historical trajectories and everyday realities, we aim to promote inclusion, mutual understanding, and the development of more resilient multicultural communities. We particularly welcome applications from candidates who speak one of the following languages: Serbian, Croatian, Bosnian, or Montenegrin, and who are familiar with the socio-historical and cultural context of Serbia, Croatia and Bosnia and Herzegovina. Applicants should be able to conduct qualitative research, including interviews and ethnographic or archival fieldwork, on topics related to identity, belonging, and interethnic relations in mixed-family settings. Interested scholars are encouraged to join our dynamic, interdisciplinary team at the Department of Minority Studies, Faculty of Social Sciences, Eötvös Loránd University (ELTE), Budapest, and contribute to the growing international dialogue on reconciliation and diversity in post-conflict contexts.

Our research group focuses on advancing computational methods to study point defects in solids for quantum technology applications. We work at the intersection of first-principles electronic structure calculations, quantum dynamics simulations, and method development.

Our goal is to optimize defect-based quantum technologies that we achieve by developing advanced techniques to model the electronic, optical, and spin properties of defects, as well as exploring spin dynamics in non-Markovian environments.

We refine methodologies for simulating quantum systems and provide critical insights and numerical parameters essential for the development and optimization of quantum sensing, quantum computation, and quantum communication.

The undertaking of our research group is to present and study the liturgical and ritual life of the Latin Church digitally, especially in the form of the Usuarium database. Hitherto, liturgical research has been hindered by the paucity and unavailability of records – now our research group has over 250 mediaeval books, granting the possibility of all-encompassing research and truly accurate, representative results.

The next step is to analyse it all and to write up the emerging patterns and information. Convinced that the research group’s project is the largest medieval database in existence and has enormous potential to generate publications and create international contacts, we offer a post-doctoral position for researchers of medieval culture, society, music, liturgy and the church, hoping that by our collaboration we achieve the true potential of our work and to promote the work of Hungarian academics on the world-wide scene.

The main research interest of the research group is to understand the nature and main mechanisms of human social cognition, especially, how human memory and theory of mind operates and develops.
We do research in these fields, and also guides students in discovering them. We focus our research on how social partners who are ‘experts’ in such environment modulate the emergence of cognitive capacities through actively stipulating the learning processes of the novice.

Our group uses techniques from lattice field theory and thermal field theory to study the properties of strongly interacting matter under extreme conditions—such as those found in the early universe, heavy-ion collision experiments, and neutron star mergers.
We focus on mapping the phase diagram of quantum chromodynamics (QCD) in the temperature–baryochemical potential plane.
To explore systems with nonzero net-quark density, we develop novel theoretical and computational methods and carry out large-scale simulations on high-performance CPU and GPU clusters. We are particularly interested in the conjectured critical endpoint on the QCD phase diagram.

The PRiSMa research group, launched in 2024, focuses on how political representation functions in a political communication environment dominated by social media. We examine the dynamics between institutional political actors and citizens, the responsiveness of political actors to the political activity expressed by citizens on social media, and non-electoral actors who effectively advocate for representational demands on these platforms.

We also pay attention to the new forms of political inequality that arise from the fact that political activity on social media can be intimidating for many people due to psychological or social reasons. Therefore, in exploring the patterns of political representation, we analyse the activities of both electoral and non-electoral political actors, as well as citizens' experiences, practices, and sentiments related to these dynamics. The research group consists of the PI, two senior researchers, two postdoctoral researchers, and four PhD students.

The MOMENTUM project strives to forge the definitive account of the shifting global allegiances of the Visegrád countries in the post-war period (hence: V-SHIFT) by the most extensive data collection and analysis to date. It will systematically analyse multiple decades worth of textual sources to unearth the changing reception of global powers within domestic politics and media. It applies cutting-edge AI methodology to quantify and evaluate the presence of, and attitudes towards, global powers on the domestic policy agenda in V4 countries. V-SHIFT is a poltextLAB project, supported by the Institute for Political Science of Centre for Social Sciences.

The main goal of our research group is to map the development of literary canons in the Kingdom of Hungary between 1450 and 1630 along synchronic and diachronic cross-sections, as well as to reinterpret and nuance it with the help of both newly uncovered texts as well as ones yet to be explored.
According to our concept, the emergence of the canons can primarily be explained through the linguistic, denominational, and national identity of the authors and their readers (Hungarus identity).

The research will be carried out at both micro and macro level: examining the most minute textological and philological problems may lead us to an understanding of the larger connections of intellectual history as well as the history of religion, language, and literature.

Our research group conducts integrative field, data-driven and experimental studies on river ecosystems, with a particular focus on pelagic functional groups. We particularly focus on the middle Danube and Tisza Valley oxbow lakes in Hungary. We analyse the structure, biodiversity, and functioning of large river and lake communities using the biodiversity-ecosystem functioning (BEF) relationship as a central ecological theorem. Our primary objectives include taxonomic and functional analyses of the river food web and characterising ecological relationships among its components. We also investigate visual ecology and study ecological processes at key interfaces, such as benthos-plankton and river water-land. By understanding the functioning of riverine communities, we aim to predict better their response to climate change, ecological invasions, and human disturbances.

In this Lendület project, our team develop new tools to comprehend the elusive dark energy component by using state-of-the-art galaxy and quasar survey data sets. We probe the growth rate of structure in extreme environments near density peaks traced by powerful quasars, as well as in dark and empty voids. In particular, we study in detail how dark energy stretches the largest cosmic superclusters and the vast voids, spanning about 300 million light-years, leaving smoking-gun evidence in the form of secondary hot and cold spots on CMB temperature/lensing anisotropy maps.

We will entertain an emerging new hypothesis that recently reported cosmological anomalies, concerning the delicate balance of expansion and structure growth, might be explained if the expansion of the Universe is inhomogeneous, in contrast with the core assumption of the concordance model.

Investigate how nuclear reactions in stars produce the chemical elements and their isotope. Compare model predictions to stellar abundances and the composition of meteorites.

Launched in December 2024, the research group aims to better understand why and how volcanoes erupt. High-resolution chemical and textural studies of crystals in volcanic rocks are carried out to reveal processes in subvolcanic magma reservoirs across the lithosphere and the conditions for magma generation in the upper mantle. Petrological monitoring and zircon petrochronology are used to study magmatic processes, their duration and the timing of eruptions, and to correlate scattered volcanic occurrences. The Carpathian-Pannonian region, with its diverse magmas and 20 million years of volcanic history, serves as an excellent natural laboratory for such research. Studying these volcanic rocks provides insights into deep magmatic processes and helps to understand the signals that precede eruptions. Research focuses on both outcropping volcanic formations and drill-cores from buried volcanic deposits in the Pannonian Basin as well as active volcanoes abroad.

We aim to understand the nonlinear behaviour of stellar pulsation modes, their interactions, as well as convection, turbulence and other nonlinear phenomena: modulations, period-doubling, and resonances in classical pulsating variable stars. We develop a multi-dimensional, parallel, integrated envelope + atmosphere nonlinear pulsational hydrocode in a modular framework, which runs on a workstation computer with GPU cards. The code will be well-documented, easy-to-modify and publicly available.

The recent space-based revolution in observations, several technological breakthroughs, and the accumulation of a critical mass of skilled researchers at Konkoly Observatory ensure the success of this project. A strong commitment of the team is to pursue a vigorous dissemination program including the introduction of the code into Hungarian and international higher education.

Within the past decade, inspired by the preparation of graphene, a whole library of layered semiconductors, semimetals, insulators have been prepared in single atomic layer thickness, opening up new avenues for basic research and applications. However, the true power of these 2D materials lies in the fact that they can be stacked on top of each other like Lego bricks.
In this way, one can combine various physical properties and harness the physics at the interfaces to create heterostructures of atomically thin materials with properties that are vastly different from their parent crystal.

Our research group focuses on the rich physics playground that these materials present, especially regarding the exploration of topological and correlated phases of matter.

The Nanobiosensorics Laboratory develops and applies label-free optical biosensors. In collaboration with Creoptix AG, we created Grating-Coupled Interferometry, a highly sensitive biosensor for monitoring of ion-protein binding kinetics. We also use microplate-based optical methods and novel imaging techniques, to study cellular adhesion, migration, and invasion of cells.

Our research also focuses on single-cell manipulation, including adhesion measurements and isolation of adhering and suspended cells. Using robotic FluidFM and micropipettes, we precisely inject nanoparticles and vesicles into cells, and take cytoplasmic biopsies without damaging them. This approach, combined with optical sensors, enables high-throughput single-cell adhesion measurements and modifications. In cancer research, we’ve developed methods to measure ligand affinity in living cells without labels and discovered the glycocalyx layer’s role in regulating cancer adhesion and nanoparticle uptake processes.

Fluids (volatile substances such as CO2, H2O, SO2, H2S, CO, CH4, noble gases, etc.) play a fundamental role in the formation, maintenance and termination of geologic processes and climate. In addition to the obvious fluid-containing potential of the atmosphere and the hydrosphere, current scientific knowledge indicates that the solid and the deeper Earth spheres (e.g. the astenosphere) are also characterised by a significant and complex fluid capacity.
The major goal of the FluidsByDepth Lendület (Momentum) Research Group is to describe fluid generations along the lithosphere on the basis of fluid inclusion-based research on xenoliths in Central Pannonian Basin, moreover, our major planned achievement is to model fluid/rock equilibrium, hydromechanic- chemical numeric modelling to unravel the details of CO2-rich fluid transport from the deep to the shallow lithosphere (or atmosphere).

We are interested in the neural basis of cognition. We are investigating how the neural networks within and across brain areas form specialized systems underlying brain functions. We use Research_confocal1behavioral studies, electrophysiology, optogenetics, quantitative data analysis and modelling. Our main goals are

-To understand the role of different brain regions in cognitive functions.
-To reveal how different cell types participate in these functions.
-To use disease models to test whether our findings can form the basis of future clinical studies.

The Laboratory of Thalamus Research has been established in 2003 with a special focus on understanding the roles of non-sensory thalamus. Our work in the past two decades have indicated that a critical component of thalamic organization is the vast complexity and heterogeneity of its afferents. We use advanced morphological and physiological methods to decipher the role of region specific thalamic inputs in governing thalamic activity and behaviour. Presently the Laboratory of Thalamus Research aims to understand thalamic cell assemblies in the context of motor control, stress induced behavioral alterations and region specific cortical control of different thalamic nuclei. We place great emphasis on comparative work thus we systematically compare the equivalent regions of primate and rodent thalamus.

The Technology, Tasks, and Inequality (TTI) Momentum research group provides a novel task-based approach to measure the effect of technological progress within and across occupations and firms. In particular, the research group combines administrative social security data with specialized surveys on firm technology and individual level tasks executed at the workplace which provide the possibility of cutting-edge research in international comparison. Furthermore, building on the results, we make policy recommendations that foster inclusive growth and help workers to adapt to new technologies and automatization.

The main focus of our research group is automorphic forms, both from the analytic (the sup-norm problem, the hyperbolic circle problem, restriction norm questions) and the algebraic aspects (p-adic Hodge theory, mod p principal series).

The research group consists of five mathematicians: the PI (full-time) and another senior member (part-time, department head at the Eötvös University), and three juniors: an internationally selected postdoc (full-time), and two Hungarian members (part-time, lecturers at the Technical University).

We organize weekly seminars at the Rényi Institute ("Automorphic Forms Seminar").

The Arithmetic Combinatorics research group seeks to introduce novel methods to solve problems of various types from Combinatorics, with an emphasis on problems of some arithmetic nature. Special attention is devoted to further applications of algebraic methods.

A central question to be investigated in the project is the following: How large can a subset of the group Z_m^n not containing any nontrivial k-term arithmetic progressions be? The case k>4 is wildly open, and even for k=3 a number of questions are still to be answered. Another main goal is trying to solve the Additive Basis Conjecture which asserts that for every prime p there is a constant c(p) such that the union of c(p) bases of F_p^n always contains an additive basis.

We also investigate problems about sumsets, representation functions and questions from arithmetic Ramsey theory.

Automorphic forms play a key role in modern number theory, and we aim to make them more visible in Hungary.
The group focuses on mainstream topics like: the density of the exceptional automorphic spectrum, bounding automorphic forms and their L-functions, identities of spectral origin, and the p-adic Langlands program.

Markov Chain Monte Carlo (MCMC) methods, particularly the Metropolis algorithm and Glauber dynamics, are foundational techniques for simulating the behaviour of large, complex systems. Quantum generalizations of MCMC methods could explore the state space more efficiently, and we recently found new breakthrough approaches that incorporate quantum transitions in a coherent fashion while preserving the crucial properties of the classical methods.

By enabling simulations that are infeasible for classical computers, these algorithms could revolutionize various domains, from material science to financial modelling, offering unprecedented computational power. Understanding the mixing times, and the role of specific jump operators is a critical step in obtaining efficient algorithms.
Our research group aims to advance the theoretical framework of related quantum algorithms as well as to realize tangible benefits that underscore the transformative potential of quantum computing.

Photosynthetic microorganisms exhibit exoelectrogenesis, the export of electrons upon illumination, which is the basis for biophotovoltaic (BPV) systems that generate electrical current. However, available BPV technologies have low current output and short operational lifetimes. Similarly, biocatalysis using exoelectrogenesis is limited by low efficiency and short durability.

This project aims to overcome these barriers using Parachlorella kessleri MACC-38, a newly identified strain with high current outputs. Our goals are: (1) to develop a liquid-culture BPV device sustaining long-term and efficient current production; (2) to optimize culture parameters for exoelectrogenesis and photosynthetic performance; and (3) to couple exoelectrogenesis with extracellular redox biocatalysis.

This novel biological platform will allow for improved efficiencies in BPV and biocatalytic applications, providing an innovative approach for both renewable energy and sustainable chemical production

We use multidisciplinary approaches to identify the mechanisms involved in delivering various autophagic, crinophagic, endocytic, and phagocytic cargoes to lysosomes, and how lysosomal activity is regulated. Our core competencies include high-resolution microscopy, genetics, molecular cell biology, protein interaction studies, various omics approaches, and in vitro reconstitution of vesicle maturation.

Using the powerful animal model Drosophila enables us to study the importance of individual genes/proteins and specific molecular interactions on an organismal level. For example, we showed that autophagy maintains proteostasis and neural function and its defects cause ataxia and short lifespan (Genes Dev 2007, JCB 2013, Elife 2015), and we recently identified a special phagosome maturation process in glia that is required for the breakdown of dead neurons/axons and animal survival after nervous system injury (Nature Comm 2023).

The research group broadly focuses on questions pertaining to the development of gene editing technologies and their various applications.

We look to find, develop, and optimize tools for efficiently modifying a range of model and non-model bacterial organisms and to adapt these tools for higher eukaryotes. We utilize these capabilities to study various questions pertaining to bacterial immunity, microbiome engineering, bacterial antibiotic resistance, and host-microbe interactions

Scientific background:
Recent years have seen the emergence of an entirely new field in microbiology, the comprehensive characterization of the immune systems of bacteria and their relations to the viruses of bacteria, bacteriophages.
As with other areas of microbiology, these studies have overwhelmingly focused on a limited number of model organisms for which the proper culturing techniques and genetic tools have been developed. However, by studying only a small number of species, our knowledge regarding these systems suffers a great limitation.

Furthermore, often what is true for these species may not be the case for other, clinically, or environmentally important bacteria. In this regard, a great deal of knowledge is lost regarding the identification and functional characterization of unknown systems.

Scientific Background:
While the development of novel antibiotics has slowed down considerably over the years, and new broad-spectrum antibiotics are rarely discovered, the lack of recent pharmaceuticals has driven science and medicine towards the exploration of antibiotic combinations. Mapping the entire combination space of even a small number of antibiotics can be an arduous task, and examining a small number of antibiotics can only provide us with limited information. To explore the broader interactions of antibiotics (such as general interactions between antibiotic classes), the development of novel methodologies is necessary.

For that end, we are currently developing a novel technique that can reduce the number of needed measurements to explore the effects of drug combinations.

The Systems Immunology Research Group is a computationally driven research team based at the HUN-REN Biological Research Centre, Szeged, Hungary. We focus on how the adaptive immune system recognizes pathogens, cancer and self-molecules, using large-scale data analysis, modern statistical methods and machine learning to uncover the rules of immune recognition.

Our projects span blind spots in immune recognition, antitumor immunity and HLA promiscuity, with publications in leading journals such as PNAS, Nature Cancer and PLOS Biology.
We work in close collaboration with clinical and experimental partners and maintain a strong training environment, offering opportunities in data science, bioinformatics and systems immunology for students and early-career researchers.

MTA–HUN-REN SZBK Lendület "Momentum" Translational Lab-on-a-Chip Models Research Group focuses on designing cutting edge in vitro stem cell-based lab-on-a-chip models of central nervous system-related diseases. Using complex barrier models and brain organoids our goal is to understand vascular changes in brain pathologies.
Joining blood-brain barrier modelling and cutting-edge cell culture technologies we aim to contribute to a better understanding of dementia, inflammation, infection of the brain.

Our ultimate goal is to use our technology to improve real-life therapies and be a step closer to personalized medical approaches. Our chip devices are prepared in a clean room facility, use advanced biosensing and human cell-based tissue culture methodologies.

The digitalization of society has opened new areas and also new challenges for social science research. Digital space both reflects the social inequalities that exist in offline space and creates new cleavages between social groups. Data from the observation of digital behaviour and data generated by digitalisation can help us extend or refine our knowledge about how society is structured and works.

The goal of this research is to (1) create models which could predict social class purely from digital footprints of people by focusing on the digital behavioural differences of social groups defined by classical social structure theories, (2) detect new dimensions of social structure in the online space, with which existing theories could be extended or even new social stratification theories could be set, and (3) use digital, observational data to extend our knowledge about inequalities of between the different strata of the society.

The research focus of the group is centred around
1) Development of optochemically controlled bioorthogonal platforms for targeted drug delivery;
2) Development of visible-light activatable xanthenium photocages for light controlled drug delivery;
3) Visible-light activatable agonists and antagonists for photopharmacology

The Rona lab seeks to gain a better understanding of the fundamental processes that maintain genomic integrity within our cells. DNA repair processes are crucial aspects of biology as mis-regulation of these mechanisms are often the driving force behind several types of cancer and neurodegenerative diseases. By unravelling the underlying molecular mechanisms of these diseases, we aim to provide the foundation of novel therapeutic approaches. In our work we rely on genetic, biochemical, and proteomic approaches in mammalian cells as well as collaborations with structural biologists and mouse geneticists.