Find Academic Supervisors

Friederike EbnerView profile

Professor

• Immunobiology
• Parasitology
• Infectious Disease Research
• +3 more

Prof. Friederike Ebner holds the Chair of Infection Pathogenesis at the Technical University of Munich (TUM) since 2023, within the TUM School of Life Sciences. Her research focuses on the immunobiology of parasite infections, particularly studying gastrointestinal helminths like Ascaris suum and their interactions with host immune systems to design novel intervention strategies. She also develops biomedical models for studying infectious diseases. Educational Background: Friederike Ebner earned a biotechnology degree from TU Berlin and Dongseo University (South Korea). She completed her PhD in biology at Humboldt University Berlin (2014), followed by postdoctoral research in immunology at Freie Universität Berlin, where she became an assistant professor before moving to TUM. Research Interests: Her work spans helminth-host immune dynamics, vaccine development, microbiome interactions in parasitic infections, and translational models for human diseases. Key topics include Th2/Th1 immune balance, helminth-derived immunomodulators, and xenotransplantation safety. Notable Contributions: Her recent studies address diagnostic methods for ascariasis, microbiome roles in helminth survival, and immunotherapeutic applications of parasite products. Current efforts emphasize bridging fundamental immunology with clinical and veterinary applications. Professional Activities: Prof. Ebner teaches immunology and parasite biology at TUM while maintaining active collaborations in global health and infectious disease research. She advocates for interdisciplinary approaches to address knowledge gaps in parasitology and vaccinology.

Heike WexView profile

Researcher

• Aerosol-Cloud Interactions
• Atmospheric Physics
• Ice Nucleation
• +4 more

Dr. Heike Wex is a prominent atmospheric scientist at the Leibniz Institute for Tropospheric Research in Leipzig, Germany, where she serves as a Researcher in the Atmospheric Microphysics department. With over two decades of continuous research since completing her PhD in 2002, she has established herself as a leading expert in aerosol-cloud interactions and ice nucleation processes. Her work spans multiple international collaborations and major research initiatives including (AC)³, PICNIC, MarParCloud, and PI-ICE projects. Her research focuses on experimental investigations and theoretical descriptions of aerosol-cloud interactions, with specific expertise in hygroscopic growth at high relative humidities (>99% RH), particle activation to cloud droplets, heterogeneous ice nucleation processes, and the role of atmospheric aerosol particles as nuclei for cloud droplets and ice formation. Her work bridges atmospheric physics, climate science, and environmental chemistry, with significant contributions to understanding how microscopic processes affect cloud formation and climate. Analysis of her recent publications reveals a strong focus on polar and marine environments, with particular attention to biological contributions to ice nucleation, seasonal variations in Arctic aerosols, and the development of advanced measurement techniques. Her work consistently addresses fundamental questions about how aerosols influence cloud properties and climate systems, with increasing emphasis on climate-relevant processes in polar regions. Dr. Wex has held significant leadership positions, including serving as Vice President of the International Commission on Clouds and Precipitation (ICCP) from 2021-2024. She is also actively engaged with Scientists for Future in Leipzig, demonstrating her commitment to addressing climate change through scientific expertise and public engagement. Beyond her research, she has organized numerous scientific workshops and field campaigns, including leadership roles in the LExNo experiment, FROST projects, and the 16th International Conference on Clouds and Precipitation. Her work has established important methodological approaches for studying ice nucleation and has contributed significantly to our understanding of aerosol impacts on cloud formation across diverse environments from the Arctic to the tropics.

Markus BachmayrView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• High-dimensional Problems
• +4 more

Prof. Dr. Markus Bachmayr is a full professor at the Institute for Geometry and Practical Mathematics, RWTH Aachen University, holding the chair for Applied Mathematics. His research focuses on nonlinear approximation, high-dimensional partial differential equations (PDEs), uncertainty quantification, and numerical methods in quantum chemistry. He leads the ERC Consolidator Grant project Computational Complexity of Highly Nonlinear Approximations (COCOA) and contributes to CRC 1481 Sparsity and Singular Structures, and RTG 2326 Energy, Entropy, and Dissipative Dynamics. His recent work emphasizes adaptive low-rank and sparse approximation techniques for parametric and stochastic PDEs, including applications in radiative transfer and poroviscoelastic flow modeling. He serves as Editor-in-Chief of Foundations of Computational Mathematics and Associate Editor for multiple journals. Scientific Awards: John Todd Award 2013 Borchers Plakette 2014 Erwin Wenzl Preis 2007 He has taught courses such as Numerische Analysis I/II, Numerische Mathematik für Elektrotechniker, and seminars on numerical methods and approximation theory.

Joachim WeickertView profile

Professor

• Image Processing
• Computer Vision
• Mathematical Modeling
• +4 more

Joachim Weickert is a Professor of Mathematics and Computer Science at Saarland University where he heads the Mathematical Image Analysis Group since 2001. He received his diploma and Ph.D. in mathematics from the University of Kaiserslautern (1991, 1996), and a habilitation degree in computer science from the University of Mannheim (2001). Prior to his current position, he worked as a research assistant at the University of Kaiserslautern, as a post-doctoral researcher at the universities of Utrecht and Copenhagen, and as an assistant professor at the University of Mannheim. His research focuses on image processing, computer vision, and scientific computing, with special emphasis on techniques based on partial differential equations, variational principles, wavelets, morphological and nonlocal methods, as well as neuroexplicit approaches. He has developed mathematical models and efficient numerical algorithms for image restoration, enhancement, segmentation, compression, optic flow computation, stereo reconstruction, shape from shading, and signal processing methods for tensor fields. These ideas have been successfully applied in industry, biomedical image analysis, and other fields. Analysis of his recent publications reveals a strong trend toward combining traditional PDE-based methods with modern deep learning approaches, particularly in the areas of image inpainting and compression. His work increasingly explores the connections between numerical algorithms for partial differential equations and neural network architectures, demonstrating how mathematical foundations can inform cutting-edge AI techniques while maintaining strong theoretical guarantees. Gottfried Wilhelm Leibniz Prize (2010), considered the most important research award in Germany ERC Advanced Grant (2017) for "Inpainting-based Compression of Visual Data" Elected member of Academia Europaea - The Academy of Europe Jan Koenderink Prize for Fundamental Contributions in Computer Vision (2014) Multiple DAGM Prizes and Best Paper Awards throughout his career AAIA Fellow (2021) and Highly Ranked Scholar (2024) distinctions Professor Weickert has supervised over 250 bachelor's and master's theses and initiated the Master Programme in Visual Computing at Saarland University, the first of its kind in Germany taught in English. He has established numerous interdisciplinary collaborations with colleagues from medicine, bioinformatics, pharmacy, physics, mechatronics, and mechanical engineering. As Principal Investigator for Visual Computing within the Multimodal Computing and Interaction Cluster of Excellence, and former dean of the Faculty of Mathematics and Computer Science (2008-2010), he has played a significant leadership role in advancing visual computing research and education. He heads the Mathematical Image Analysis Group, which has been at the forefront of developing mathematical methods for image analysis. The group maintains strong connections with both theoretical mathematics and practical applications, bridging the gap between fundamental research and real-world implementation across various domains including medical imaging, industrial inspection, and multimedia processing.

• Computational Linguistics
• Natural Language Processing (NLP)
• Dependency Parsing
• +5 more

Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.

Gerhard MüllerView profile

Professor

• Structural Dynamics
• Vibroacoustics
• Dynamic Soil-Structure Interaction
• +5 more

Prof. Dr.-Ing. Gerhard Müller is a Full Professor at the Chair of Structural Mechanics within the TUM School of Engineering and Design at Technical University of Munich (TUM). Since 2004, he has held this distinguished position, and since 2014, he has served as Executive Vice President for Academic and Student Affairs at TUM. His research focuses on structural dynamics and vibroacoustics, with specific expertise in dynamic soil-structure interaction, sound radiation analysis, and seismic risk assessment. Professorship: Structural Mechanics University: Technical University of Munich School: TUM School of Engineering and Design Department: Chair of Structural Mechanics in Civil Engineering Prof. Müller's research spans multiple domains, including: Structural Dynamics : Examining building and vehicle vibrations, seismic soil-structure interaction, and advanced model order reduction techniques Vibroacoustics : Investigating sound radiation from vibrating structures and developing acoustic metamaterials for noise control Computational Methods : Pioneering hybrid deterministic-statistical approaches, Wave Based Methods (WBM) for saturated elastodynamic structures, and parametric model order reduction His recent publications demonstrate expertise in: Wave propagation analysis in poroelastic media Bayesian parameter updating for structural models Acoustic metamaterials for vibration control Advanced numerical methods for seismic risk assessment Hybrid ITM-FEM approaches for soil-structure interaction Energy flow analysis in timber structures Awarded the Spindler Prize in 1984 , Prof. Müller also holds significant academic leadership roles: President of European Association for Structural Dynamics (EASD) Chairman of Bavarian-French University Center (BayFrance) Active member of ASIIN accreditation agency and Bavarian Chamber of Engineers Previously served as Dean of Civil Engineering and Surveying at TUM (2010-2014) He leads the Structural Dynamic Lab (formerly Vibroacoustics Lab) and has developed interactive web apps for engineering education. His work bridges theoretical advancements with practical applications in construction acoustics, transportation noise control, and geothermal energy infrastructure analysis.

Hans-Bert RademacherView profile

Professor

• Differential Geometry
• Pseudo-Riemannian Geometry
• Finsler Geometry
• +7 more

Hans-Bert Rademacher is a Professor of Differential Geometry at the University of Leipzig's Faculty of Mathematics and Computer Science, where he has held the chair since 1995. He completed his Habilitation in 1991 and earned his PhD (Dr.rer.nat., summa cum laude) in 1986 from Universität Bonn, following a Diploma in Mathematics (1983) from the same institution. Research Interests: His work focuses on differential geometry, including pseudo-Riemannian geometry, Finsler geometry, conformal geometry, Dirac operators and twistor spinors, Morse theory and closed geodesics, topology of free loop spaces, and discrete curve shortening. His research bridges geometric analysis and topology, particularly in the study of geodesic systems and curvature properties. Publication Trends: Recent articles center on closed geodesics in various geometric settings (spheres, Finsler manifolds, 3-manifolds), solitons in geometric flows, homology of loop spaces, and conformal geometry. His work frequently applies Morse theory to solve problems in global analysis and topology. Awards and Honors: University Medal (2021) Full Member, Saxon Academy of Sciences and Humanities (since 2010) Heisenberg Fellowship (1992-1995) Felix Hausdorff Memorial Prize (1985) National Mathematics Competition Winner (1978) Academic Service: He has supervised 12 PhD students and served as Dean (2011-2014) and Vice-Dean (2005-2008) of his faculty. He coordinated the Research Training Group "Analysis, Geometry and their interaction with the sciences" (2000-2010) and serves on editorial boards for several mathematics journals.

Renate SachseView profile

Researcher

• Motion Design
• Active and Adaptive Structures
• Biomechanics
• +6 more

Renate Sachse is a Researcher and Responsible Investigator at the Chair of Structural Analysis, Technical University of Munich (TUM), under Prof. Kai-Uwe Bletzinger. She holds a Dr.-Ing. from the University of Stuttgart and has held postdoctoral positions at Harvard University (Bertoldi Lab) and TU Munich's Institute for Computational Mechanics. Her research focuses on biomimetic adaptive structures, biomechanics, and smart materials. Education M.Sc. in Civil Engineering (University of Stuttgart, 2014) – Thesis: "Isogeometric Contact Analysis of Thin-Walled Structures" B.Sc. in Civil Engineering (University of Stuttgart, 2011) – Thesis: "Elementary School Pavilion Structural Analysis" Study Abroad: École Spéciale des Travaux Publics (ESTP, France, 2012) Research Interests Her work integrates principles from biology and mechanics to design adaptive structures, including motion design, soft robotics, and active metamaterials. Notable projects include studying snapping mechanisms in plants (e.g., Venus flytrap) and developing bio-inspired systems like Flectofold shading devices. She also explores isogeometric analysis and structural optimization for thin-walled and slender structures. Grants & Awards Bertha Benz Prize 2022 (Daimler and Benz Foundation) Klaus Tschira Boost Fund Fellowship (€80,000 interdisciplinary grant) 3rd Place AVK-Prize for Innovations (2017, Flectofold Shading System) GAMM Juniors Fellowship (2020–2022) Teaching & Grants She teaches advanced finite element methods and nonlinear mechanics at TUM and has supervised projects in computational mechanics. Her grants include CareerDesign@TUM funding and the Klaus Tschira Fellowship for high-risk, interdisciplinary research. Labs & Teams Associated with the Chair of Structural Analysis at TUM, collaborating on projects like livMatS (Living Materials Systems) and the Harvard SEAS Bertoldi Lab. Involved in software development (e.g., Carat++, Kiwi!3d) and third-party initiatives (CoDA, FlexWing).

Stefanie JannedyView profile

Researcher

• Sociophonetics
• Language Register
• Phonetic Variation
• +4 more

Dr. Stefanie Jannedy is a senior researcher at the Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS) in Berlin, where she has been employed since 2008. She is a Principal Investigator of the DFG project C02 "Variation in Situated Interaction" within the Collaborative Research Center 1412 (CRC 1412) on "Register: Language-Users' Knowledge of Situational-Functional Variation." As a member of the Laboratory Phonology Group, her work focuses on sociophonetic aspects of language variation. Dr. Jannedy's research centers on language register, phonetic variation, and sociolinguistic patterns in speech. Her work particularly examines how situational contexts influence phonetic detail in speech production, with a focus on intra-individual variation. She has developed innovative experimental methods, including smartphone applications like "Plapper" for self-recording speech data in controlled conditions. Her research spans formal and informal speech contexts, examining speech rate, vowel dispersion, filler particles, and other phonetic features that vary systematically across different communicative situations. Analysis of her publication record shows a strong focus on register variation, particularly how speakers systematically adjust their speech across different social contexts. Her work combines experimental methods with corpus-based approaches to investigate fine phonetic detail in relation to situational factors. Recent publications demonstrate increasing interdisciplinary connections between phonetics, sociolinguistics, and cognitive science in understanding register knowledge. Dr. Jannedy has advised several students including Schüppenhauer, Gediminas, Witt, Johannes, and Hong, Nhung-Le. Her research is primarily supported through the CRC 1412 framework, which represents a major collaborative effort in register studies. Her laboratory work involves experimental setups that simulate tele-conference interactions to systematically manipulate social contexts while measuring subtle phonetic differences. This methodological innovation allows for controlled examination of register variation that would be difficult to capture in naturalistic settings.

• Probabilistic Machine Learning
• Bayesian Models
• Statistical Inference
• +12 more

Luigi Acerbi is an Associate Professor in the Department of Computer Science at the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is also an active member of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS (European Laboratory for Learning and Intelligent Systems). His research focuses on probabilistic machine learning and computational neuroscience, particularly on developing efficient methods for statistical inference, Bayesian models of perception, and resource-constrained rationality. His work bridges machine learning and cognitive science, with applications in Bayesian optimization, simulation-based inference, and image completion. The recent publications highlight a strong trend toward unifying probabilistic conditioning across diverse tasks using transformer-based meta-learning frameworks like the Amortized Conditioning Engine (ACE). These works emphasize amortized inference, flexible latent variable modeling, and the integration of prior knowledge at runtime, enabling efficient and scalable Bayesian methods for complex problems. Scientific Affiliations: University of Helsinki, Department of Computer Science Finnish Center for Artificial Intelligence (FCAI) ELLIS (European Laboratory for Learning and Intelligent Systems) Education: PhD in Computational Neuroscience, Doctoral Training Centre, Edinburgh, UK Advisor: Sethu Vijayakumar and Daniel Wolpert Visiting work at Computational and Biological Learning Lab, Cambridge Postdoctoral Experience: Alex Pouget’s lab, University of Geneva, Switzerland Wei Ji Ma, New York University, USA Collaboration with the International Brain Laboratory Luigi Acerbi mentors PhD students including Daolang Huang and Nasrulloh Loka, and collaborates widely with researchers such as Samuel Kaski. He has contributed to open-source tools like PyVBMC and is involved in community initiatives such as the EurIPS conference. His work is supported by grants from the Research Council of Finland, Business Finland, and the UKRI Turing AI World-Leading Researcher Fellowship. He leads a research lab focused on amortized probabilistic inference, with ongoing projects including PriorGuide and Stacked VBMC, aiming to make Bayesian methods more practical and accessible for real-world scientific and engineering applications.

Martin BurgerView profile

Professor

• Inverse Problems
• Applied Mathematics
• Mathematical Modelling
• +15 more

Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.

Olaf RonnebergerView profile

Associate Professor

• Deep Learning
• Computer Vision
• Biomedical Image Segmentation
• +4 more

Olaf Ronneberger is an associate professor at the Albert-Ludwigs-Universität Freiburg and works at Google DeepMind . His research focuses on deep learning architectures , AI applications to scientific problems , and protein structure prediction . He leads seminars on deep learning and 3D image analysis, emphasizing vision-language integration and generative models. His publications include foundational work on U-Net architectures for biomedical image segmentation, AlphaFold 3 for biomolecular interaction prediction, and Gemini models for multimodal AI systems. Key subfields span medical imaging , protein folding , and vision-language models . Co-developer of U-Net , a widely used biomedical image segmentation framework. Contributor to AlphaFold 3 for structural biology. Research on Gemini 1.5/2.5 models for multimodal reasoning.

Gianni Dal MasoView profile

Professor

• Calculus of Variations
• Semicontinuity and Relaxation Problems
• Gamma-convergence
• +5 more

Gianni Dal Maso is a Professor of Mathematical Analysis at the International School for Advanced Studies (SISSA) in Trieste, Italy. He has been a faculty member at SISSA since 1985, first as Associate Professor and then as Full Professor since 1987. He has held several leadership positions at SISSA including Head of the Sector of Functional Analysis and Applications (1993-1998, 2001-2010), Deputy Director (2010-2015), and Coordinator of the Mathematics Area (2016-2020). His educational background includes: 1973-1977: Undergraduate student in Mathematics at the University of Pisa and Scuola Normale Superiore 1977: Degree in Mathematics with honors at the University of Pisa (thesis: "Gamma-limits of set functions," advised by Ennio De Giorgi) 1977: "Diploma" in Mathematics from the Scuola Normale Superiore 1977-1981: Post-graduate Research Fellowship in Mathematics ("Perfezionamento") at the Scuola Normale Superiore Dal Maso's research focuses on the Calculus of Variations, with particular emphasis on semicontinuity and relaxation problems, Gamma-convergence, and more recently, free discontinuity problems and their applications to mechanics. His work bridges pure mathematical analysis with practical applications in material science, particularly in plasticity and fracture mechanics. He has developed mathematical frameworks for understanding crack propagation, material failure, and the behavior of solids under stress, contributing significantly to both theoretical foundations and practical modeling approaches in these areas. His extensive publication record shows a clear evolution from foundational work in Gamma-convergence (culminating in his influential book "An Introduction to Gamma-Convergence" in 1993) toward increasingly sophisticated models of material behavior, particularly in fracture mechanics and plasticity. Recent work demonstrates continued innovation in handling complex discontinuities, non-local effects, and multi-scale phenomena in material science applications. Among his notable scientific recognitions: 1982: Stampacchia Prize, awarded by the Scuola Normale Superiore 1990: Caccioppoli Prize, awarded by the Italian Mathematical Union 1996: Medaglia dei XL per la Matematica, awarded by the Accademia Nazionale delle Scienze detta dei XL 2003: Prize of the Minister for the Cultural Heritage for Mathematics and Mechanics, awarded by the Accademia Nazionale dei Lincei 2005: Prize Luigi and Wanda Amerio, awarded by the Istituto Lombardo Accademia di Scienze e Lettere Dal Maso has supervised 42 PhD students at SISSA, demonstrating a strong commitment to academic mentorship. His research has been significantly supported by multiple National Research Projects (PRIN) in Italy, and notably by an ERC Advanced Grant "Quasistatic and Dynamic Evolution Problems in Plasticity and Fracture" (QuaDynEvoPro) from 2012-2017, where he served as Principal Investigator. This major project focused on nonlinear evolution problems in plasticity and fracture, with three main research directions: plasticity with hardening and softening, quasistatic crack growth, and dynamic fracture mechanics. His scholarly activities extend to editorial service, with membership on the boards of numerous prestigious journals including Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, and Journal of Convex Analysis. He has also been active in the mathematical community through membership in scientific committees and academies, including the Accademia Nazionale dei Lincei since 2014.

Slava JankinView profile

Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +3 more

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.

Alberto Cantera GleraView profile

Professor

• Zoroastrian Studies
• Avestan Language and Literature
• Iranian Linguistics
• +6 more

Alberto Cantera Glera is a Professor at the Institute of Iranian Studies within the Department of History and Cultural Studies at Freie Universität Berlin. His research focuses on Zoroastrian studies, Avestan language and literature, Iranian linguistics, and manuscript studies. He teaches courses on Young Avestan, Pahlavi, Zoroastrian rituals, and Iranian literature, with office hours held on Thursdays from 3-5 p.m. Professor Cantera Glera's research interests center on Zoroastrian religious practices, particularly the Long Liturgy, Avestan textual criticism, and the transmission of Zoroastrian texts through manuscript traditions. His work bridges linguistic analysis with religious studies, examining how ritual practices evolved from ancient to medieval Iran. He has made significant contributions to understanding the relationship between oral performance and written transmission in Zoroastrian traditions, as well as the linguistic features of Avestan and Middle Persian texts. His recent publications reveal a consistent focus on Zoroastrian ritual structures, particularly the Long Liturgy, with increasing attention to the relationship between textual manuscripts and ritual performance. The articles show progression from linguistic analysis of Avestan texts toward broader studies of ritual practice, sacred geography, and the historical development of Zoroastrian religious authority. His work demonstrates sophisticated integration of manuscript evidence with ritual theory and historical linguistics. PRIX ROMAN ET TANIA GHIRSHMAN 2021 Professor Cantera has supervised numerous PhD students including Nils Purwins, Stefan Härtel, Yusef Saadat, Jaime Porro, Soheil Delshad, and Xue Li. His research has been supported through various academic projects related to Zoroastrian manuscript studies and Avestan textual criticism, contributing significantly to the field of Iranian studies at Freie Universität Berlin.