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Paul StephanView profile

Researcher

• Partial Differential Equations
• Variational Problems
• Functional Analysis
• +3 more

Paul Stephan is a researcher at the University of Konstanz, Department of Mathematics and Statistics, specializing in partial differential equations and variational problems on limiting function spaces. He focuses on coercive inequalities, boundary value problems with critical data, and applications in energy systems modeling. Supervised by Prof. Dr. Franz Gmeineder Collaborates with Prof. Dr. Robert Denk Former student research assistant at HTWG Konstanz (Faculty of Mechanical Engineering) His research bridges advanced mathematical analysis with practical applications in energy systems. Recent work includes partial regularity for quasiconvex functionals, KMS inequalities, and decentralized energy grid modeling. Scientific recognition includes the MPI Prize and MfO Prize for best presentation at Stukon (2024), LUKS Prize for teaching excellence (2024), and VEUK Prize for outstanding thesis (2023). Teaching roles span Analysis I/II, Function Theory, and mathematics preparatory courses. He also organizes seminars on Fourier analysis and contributes to science communication through Campuls.Online articles.

• Convex Analysis
• Variational Calculus
• Quantum Information Theory
• +3 more

Stephan Weis is a Research Fellow in the ROBOPROX project at the Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague. He collaborates with prominent researchers including Didier Henrion, Milan Korda, and Martin Kružík in the fields of convex analysis and variational calculus. Dr. Weis completed his academic training with a Doctoral Thesis titled Exponential Families with Incompatible Statistics and Their Entropy Distance from Erlangen, Germany in 2010, preceded by a Diploma Thesis Invariants for the Ideal Boundary of a Tree and a Master Thesis Dynamics on Graphs both from 2004. His research spans multiple interconnected domains with a primary focus on the mathematical foundations of quantum information theory. He has made significant contributions to understanding convex structures in quantum state spaces, numerical ranges of operators, and maximum-entropy principles. His work demonstrates deep connections between pure mathematics (particularly convex geometry and operator theory) and quantum information applications. Analysis of his publication timeline reveals a consistent research trajectory focused on the geometry of quantum states, with recent work (2023-2025) extending into matrix systems, face lattices of density matrices, and open mappings in operator algebras. His publications appear in high-impact journals including Advances in Operator Theory, Journal of Convex Analysis, SIAM Journal on Applied Algebra and Geometry, and Journal of Mathematical Physics. Dr. Weis has presented his research at numerous international conferences including IWOTA (International Workshop on Operator Theory and Applications), STOC (ACM Symposium on Theory of Computing), and specialized workshops on numerical ranges and quantum information theory across Europe and beyond. His collaborative work spans multiple institutions and research groups, with recent projects focusing on quantum coin flipping protocols, convex analysis applications to quantum states, and geometric approaches to quantum information problems. The interdisciplinary nature of his research bridges mathematics, physics, and theoretical computer science.

• Neuroanatomy
• Synaptic Plasticity
• Cortical Connectivity
• +10 more

Dr. Almut Schüz is an Adjunct Professor at the University of Tübingen's Faculty of Biology and a permanent staff scientist at the Max Planck Institute for Biological Cybernetics. Her 45-year career focuses on quantitative neuroanatomy of the cerebral cortex, synaptic organization, and learning mechanisms. She co-authored foundational texts with Valentino Braitenberg on cortical structure and brain allometry. Education: Biology (Diploma, Tübingen 1975), PhD in Neurobiology (Tübingen 1979) Teaching: Neurobiology and human anatomy instruction since 1982 Research spans: Cortical learning mechanisms - dendritic spine/synapse turnover analysis Quantitative network modeling - demonstrating associative connectivity patterns Cortico-cortical connection organization - neighborhood dominance Comparative neurobiology - cross-species synaptic analysis Neuroimaging - MRI-validated histological methods Her 15 most recent publications cover cortical conduction velocity (2014), molecular learning networks (2013), primate visual system studies (2012), and MRI-tracer validation (2011). Collaborations include neuromorphic engineering with Marco Fontana and visual system mapping with Nikos Logothetis. Doctoral advisees: Matthias Valverde Salzmann (primate visual system research). Current work examines brain theory applications to synthetic information processing systems.

• Satellite Geodesy
• Precise Orbit Determination
• Global Navigation Satellite Systems
• +3 more

Dr. Stefan Marz is a researcher at the Research Facility Satellite Geodesy at the Technical University of Munich (TUM). His work focuses on satellite geodesy, precise orbit determination, and time transfer systems, with particular expertise in Global Navigation Satellite Systems (GNSS) including Galileo and BeiDou. He has been actively involved in the European Laser Timing (ELT) project and other ESA initiatives related to satellite navigation and geodesy. Dr. Marz's research interests span multiple areas of satellite geodesy and navigation. His work explores the use of optical two-way links for precise orbit determination and time transfer, the development of radiation force models for GNSS satellites, and the integration of geosynchronous satellites into future navigation constellations. He has made significant contributions to understanding the challenges of precise time reference in space and developing methods for accurate satellite clock synchronization. Analysis of Dr. Marz's publication record reveals a strong focus on advancing precise orbit determination techniques using innovative approaches like optical inter-satellite links and laser ranging. His work bridges theoretical developments with practical applications for next-generation satellite navigation systems. The research shows an evolving trajectory from foundational work on ELT data processing to more recent studies on integrated GNSS constellations and time reference systems in space. Dr. Marz has supervised numerous student research projects, including six bachelor's theses and one master's thesis between 2016 and 2022. His advisees have worked on topics ranging from optical time transfer simulations to ionospheric effects on GNSS signals and European Laser Timing data analysis. His research has been conducted within several significant projects including ESA Baltic+ Project (Theme 5), ESA Project MAGIC/Science, ESA Project QSG4EMT, DFG Research Unit NEROGRAV, and DFG Research Training Group UPLIFT, demonstrating his involvement in major collaborative research efforts in satellite geodesy.

Phaedon-Stelios KoutsourelakisView profile

Professor

• Uncertainty Quantification
• Multiscale Modeling
• Computational Mechanics
• +3 more

Prof. Phaedon-Stelios Koutsourelakis is a Professor of Continuum Mechanics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. His research focuses on computational strategies for modeling and analyzing physical systems with a strong emphasis on uncertainty quantification, multiscale phenomena, and stochastic systems. He holds a PhD from Princeton University and has held academic positions at institutions including Cornell University, Heriot-Watt University, and the Lawrence Livermore National Laboratory. His educational background includes a degree from the National Technical University of Athens and a PhD from Princeton University (1998). Key research areas include data-driven coarse-graining techniques, Bayesian inference in engineering systems, and physics-aware machine learning models for high-dimensional problems. He has received notable awards such as the Top Teaching Trophy from the Munich School of Engineering (2014–2016) and the Dean’s First Year Merit Prize at Princeton (1998). His work bridges computational mechanics with statistical methods, addressing challenges in materials design, structural health monitoring, and predictive modeling under uncertainty. Recent projects include developing physics-constrained deep learning frameworks for surrogate modeling and quantifying model bias in digital twins of infrastructure systems. Notable contributions include the Predictive Coarse-Graining framework and probabilistic methods for uncertainty quantification in heterogeneous media. His research also extends to optimization under uncertainty and interdisciplinary applications in biomedical engineering and materials science.

Frank RiedelView profile

Professor

• Environmental Change
• Ancient Lakes
• Molluscs
• +5 more

Prof. Frank Riedel is a Professor of Paleobiology at the Free University of Berlin's Institute of Geological Sciences. His roles include Director of the Interdisciplinary Centre for Ecosystem Dynamics in Central Asia (EDCA) and co-director of the Sino-German Center for Arid Environment and Paleoclimate Research. He has held guest professorships at Yunnan Normal University since 2011. Riedel holds a Ph.D. from Hamburg University and has conducted extensive research in paleontology, environmental change, and mollusc evolution. His research focuses on three interlinked areas: environmental change dynamics in Central Asia, ancient lake ecosystems, and Caenozoic gastropod evolution. He leads projects analyzing climate variability via isotopic data, ancient lake systems in Botswana and China, and mollusc-based environmental archives. Riedel has authored/co-authored over 100 publications since 1992, with recent work emphasizing African baobab climate archives, Tibetan Plateau hydrology, and gastropod phylogeography. His work has been featured in journals like Quaternary Science Reviews and BMC Evolutionary Biology . He has secured DFG grants for projects including climate simulations in Lesotho (2020–present), Tibetan Plateau gastropod studies, and ancient lake reconstructions. His contributions span fieldwork in Russia, Cuba, India, and Botswana, with a focus on integrative paleoenvironmental analysis. Notable achievements include founding EDCA (2001) and co-organizing the 4th International Symposium on Speciation in Ancient Lakes (2006). His lab focuses on mollusc shell isotope analysis and paleolimnological techniques to decode geological and climatic histories.

Elena A. EroshevaView profile

Professor

• Statistical methodology for social sciences
• Bayesian inference
• Discrete data analysis
• +7 more

Elena A. Erosheva is a Professor of Statistics and Social Work at the University of Washington , where she serves as the Director of the Center for Statistics and the Social Sciences (CSSS). She is also affiliated with the School of Social Work and has made significant contributions to statistical methodology for the social, behavioral, and health sciences. Professor, University of Washington (Statistics & Social Work) Director, Center for Statistics and the Social Sciences (CSSS) Joint appointment with School of Social Work Editorial board member for top journals including Annals of Applied Statistics and Psychometrika Her research focuses on: Bayesian inference and hierarchical models Mixed membership and latent variable models for complex data Statistical approaches for longitudinal and multivariate categorical data Applications in social sciences, health, and medical research Gender homophily in academic collaborations Measurement of chronic disability and cognitive outcomes Recent publications analyze: Statistical learning models for rankings and scores Gender-based homophily in scholarly collaborations Variational inference techniques Mixed outcome latent variable models for neuroscience Methodology for detecting bias in peer review Major awards include: 2021 Fellow, American Statistical Association 2024 Elected Member, International Statistical Institute 2013 Mitchell Prize for Bayesian contributions 2014 America Competes Act Challenge winner She has advised numerous research projects and served as a PI for NIH-funded work on cognitive outcomes with advanced psychometrics.

Peter LewintanView profile

Researcher

• Partial Differential Equations
• Functional Analysis
• Mechanics of Deformable Solids
• +3 more

Peter Lewintan is a researcher in the Institute of Applied and Numerical Mathematics at Karlsruhe Institute of Technology (KIT), focusing on partial differential equations, functional analysis, and mechanics of deformable solids. His work bridges mathematical theory with applied continuum mechanics, particularly in Korn-type inequalities and micromorphic models. Current research includes generalized Korn inequalities for incompatible tensor fields and numerical methods for micromorphic continua Recent publications analyze wave propagation in metamaterials, boundary conditions in generalized continua, and optimal Sobolev estimates Collaborators include Patrizio Neff, Adam Sky, and Ionel-Dumitrel Ghiba. His work has been cited 128 times in 56 documents, primarily in journals like Journal of Elasticity and Computer Methods in Applied Mechanics and Engineering .

Alessandro GraziView profile

Researcher

• Jewish intellectual history
• Jewish-Christian relations
• History of the Jewish Book
• +5 more

Alessandro Grazi is a Senior Researcher at the University of Münster's Cluster of Excellence 'Religion and Politics,' where he leads the subproject 'Pope Pius XII and baptized Jews in Brazil' (EXC 2060 C3-19). His academic journey includes a PhD in Humanities from the University of Groningen, a Rothschild Postdoctoral Fellowship at the University of Amsterdam, and research positions at the Leibniz Institute of European History in Mainz. He has also held teaching positions at various institutions including Justus Liebig University Giessen and the University of Amsterdam. Grazi's educational background includes a PhD in Humanities from the University of Groningen (2008-2012), a Research Master in Literary Studies from the University of Amsterdam (2005-2007), and a Master in Preservation of Cultural Heritage from the University of Bologna (1998-2004). His doctoral research focused on 'Patria ed Affetti. Jewish Identity and Risorgimento Nationalism in the Oeuvres of Samuel Luzzatto, Isaac Reggio, and David Levi.' His research centers on Jewish intellectual history of the 19th and 20th centuries, Jewish-Christian relations, and the History of the Jewish Book, with particular focus on Italian Jewish communities. Grazi has made significant contributions to understanding how Jewish intellectuals navigated Italian nationalism during the Risorgimento period and how Jewish communities adapted to modernity. His work often examines the intersection of Jewish identity with broader cultural and political movements, including Freemasonry and Saint-Simonism as vehicles for Enlightenment values among Italian Jews. Grazi's publication record reveals a consistent focus on 19th-century Italian Jewish intellectuals, particularly David Levi, Isacco Samuele Reggio, and Samuel Luzzatto. His work spans traditional historical scholarship, digital humanities approaches to Jewish studies, and analyses of Jewish liturgical practices. The trajectory of his research shows increasing engagement with digital methodologies while maintaining a strong foundation in historical and literary analysis of Jewish texts and communities. Rothschild Postdoctoral Fellowship (2016-2018) Grazi serves as Co-Editor for 'Incontri – European Journal of Italian Studies' and as Review Editor for 'Annali d'Itaianistica – Italian Studies Journal.' His research has been supported through positions within the Cluster of Excellence 'Religion and Politics' at the University of Münster and previous institutional affiliations. He has also presented his work at international venues, including an upcoming lecture at the German Embassy to the Holy See in Rome on February 6, 2025, titled 'Asking the Pope for Help. Jewish victims of the Nazi regime in the sources of the Vatican.' As part of the Digital Humanities Lab at the Leibniz Institute of European History, Grazi has been actively involved in applying digital methods to Jewish studies, including work with Transkribus for text recognition and digital analysis of Jewish prayer books. His current research within the Cluster of Excellence involves interdisciplinary collaboration examining transcultural entanglement and disentanglement in religious contexts.

• Religious Studies
• Digital Humanities
• Biblical Criticism
• +3 more

Troy Griffitts is a researcher affiliated with the University of Münster, participating in the Cluster of Excellence and contributing to Research Field C: Criticism of Religion and Apologetics. His work focuses on the theory of textual variation analysis, particularly through the development of an open digital edition of the Greek New Testament. Contact: scribe@crosswire.org , Address: Johannisstr. 1, 48143 Münster. Research Cloud: Digital Humanities Theory Platform: Differentiation Project: Theory of Variant Origin in religious texts Troy's research bridges computational methods with theological scholarship, emphasizing digital humanities as a framework for analyzing religious criticism and apologetics. His projects highlight interdisciplinary approaches to textual analysis and historical religious discourse.

Abigail AdamsView profile

Professor

• Labour Economics
• Gender Economics
• Applied Microeconomics
• +2 more

Abigail Adams serves as the Nuffield Professor of Economics and Associate Head of the Department of Economics at the University of Oxford. Her academic work centers on Labour and Applied Microeconomics with significant contributions to understanding gender-based violence, job flexibility, and behavioural decision-making. Adams' research focuses on three interconnected areas: the economic dimensions of gender-based violence, the dynamics of job flexibility in modern labour markets, and innovative methods for identifying behavioural models from observational data. Her work frequently addresses real-world policy challenges, such as parental leave design, workplace safety, and the implications of remote work during economic disruptions. Her recent publications reveal a strong emphasis on labour market responses to crises, particularly the COVID-19 pandemic. Key recurring themes include gender inequality in mental health outcomes, the feasibility of remote work across occupations, and economic consequences of violence against women. These studies demonstrate consistent methodological rigor while maintaining direct policy relevance through both academic channels and public-facing VoxEU columns.

Marleen StuhrView profile

Researcher

• Coral Reef Resilience
• Climate Change Impacts on Marine Ecosystems
• Carbonate Sedimentology
• +5 more

Marleen Stuhr is a Senior Scientist at the Leibniz Centre for Tropical Marine Research (ZMT) in Bremen, Germany, where she leads research in Programme Area 4 (Ecosystem Co-Design towards a sustainable Anthropocene) within the Working Group on Geoecology and Carbonate Sedimentology. Her work focuses on climate change impacts on coral reef ecosystems, particularly through the lens of photosymbiotic organisms and carbonate sediment systems. Her primary research interests include: Adaptation mechanisms of photosymbiotic reef organisms to environmental stressors Effects of ocean acidification and warming on calcifying organisms Resilience and conservation of coral reef ecosystems Innovative proteomic approaches for studying marine holobionts Carbonate sediment production and transport dynamics Dr. Stuhr's publication record reveals strong trends in climate change physiology, with recent emphasis on multi-stressor experiments (warming + acidification), nanoplastic pollution impacts, and carbonate sediment budget modeling. Her work bridges molecular biology (proteomics/metabolomics) with ecosystem-scale processes, particularly in the Red Sea and Chagos Archipelago. She leads several significant postdoctoral projects including FuRI (Future trajectories of coral reef islands), ChagosSand (carbonate sediments in Chagos), RedSeaForams (foraminifera in Red Sea), and COrALesilience (coral bleaching recovery). Her research integrates field expeditions, laboratory experiments, and advanced analytical techniques like LC-MS metabolomics and shotgun proteomics. Dr. Stuhr maintains active collaborations across international institutions and contributes to major field protocols like SedBudget for reef carbonate assessment. Her work appears in high-impact journals including Scientific Reports, Coral Reefs, and Journal of Advanced Research, with consistent first-author publications demonstrating leadership in her field.

Cornelia Christiane MetgesView profile

Associate Professor

• Nutritional Physiology
• Amino Acid Metabolism
• Energy Metabolism
• +7 more

Cornelia Christiane Metges is an Associate Professor of Biochemistry in Nutrition at the University of Rostock and Head of the Nutritional Physiology Working Group at the Leibniz Institute for Farm Animal Biology (FBN) in Dummerstorf. She has held these research and academic roles since 2001 and 2017, respectively, and has been a lecturer in animal nutrition at the University of Rostock since 2002. Her educational background includes a doctorate (Dr. agr.) in Agricultural Sciences from the Technical University of Munich (1983–1987), habilitation in nutritional physiology (Dr. rer. nat. habil.) from the University of Potsdam (2001), and prior research experience as a visiting scientist at MIT (1995–1997). Metges's research focuses on nutritional physiology of farm animals , particularly the impact of pre- and early postnatal nutrition on growth and development, amino acid and energy metabolism , and nutrient efficiency and emissions in livestock . Her work bridges fundamental metabolic research with applied animal science, aiming to improve animal health, productivity, and sustainability. Her recent publications (2023–2025) show a strong trend in swine and poultry nutrition , with emphasis on low birthweight piglets , gut health , alternative feed sources (e.g., black soldier fly larvae, earthworms), stress physiology , and metabolic responses to infection and diet . She frequently employs advanced techniques such as transcriptomics, metabolomics, and stable isotope tracing. She has taught courses such as 'Metabolism, Performance and Pathophysiology' and 'Biochemistry of Intermediate Metabolism' at the University of Rostock, and previously at the University of Potsdam and Christian-Albrechts-University of Kiel. She has collaborated extensively with researchers including Gürbüz Daş , Solvig Görs , Klaus Wimmers , and Henry Reyer , indicating active participation in interdisciplinary research teams at FBN. Metges leads the Nutritional Physiology Working Group at FBN, which conducts research on metabolic regulation, nutrient utilization, and animal development. Her lab is involved in both experimental animal studies and collaborative projects addressing sustainable livestock production.

Vivato AndriamiaranaView profile

Researcher

• Dynamic Latent Variable Models
• Finite sample properties
• Sparse estimation
• +3 more

Vivato Andriamiarana serves as a Researcher at the Methods Center within the Faculty of Economics and Social Sciences at Eberhard Karls University of Tübingen, specializing in advanced statistical methodologies for dynamic latent variable modeling since 2020. Her work focuses on methodological rigor in complex data structures. Education: BS in Statistics and Econometrics Modeling (2011-2014), University of Antananarivo MS in Macroeconomics and Modeling (2014-2015), University of Antananarivo Studies in Applied Mathematics (2016-2017), University of Antananarivo MS in Economics and Finance (2017-2019), Université Lumière Lyon 2 Studies in Econometrics and Statistics (2019-2020), Institut de Science Financière et d'Assurances - Lyon 1 Her research centers on Dynamic Latent Variable Models with emphasis on finite sample properties, sparse estimation techniques, and network modeling for intensive longitudinal data. She employs variational inference methods to address computational challenges in high-dimensional statistical frameworks, contributing to methodological advancements in structural equation modeling. Recent publications demonstrate consistent focus on validation of dynamic modeling approaches, particularly examining Bayesian regularization requirements and sample size constraints in multilevel latent class structural equation models. Her work bridges theoretical statistics with practical applications in social science research. Professional Context: DLV Project Member (since 2020) Collaborates with Methods Center faculty including Prof. Kelava and Dr. Kilian Works within interdisciplinary team developing quantitative research methodologies

Anna KorbaView profile

Researcher

• Machine Learning
• Optimal Transport
• Probability Theory
• +7 more

Anna Korba is a researcher affiliated with ENSAE & CREST, Institut Polytechnique de Paris, France. She specializes in sampling methods through optimization of discrepancies, focusing on theoretical and applied aspects of optimal transport, Bayesian inference, and gradient flows. Research Interests: Machine Learning, Probability Theory, Variational Methods, Non-convex Optimization. Recent Work: Interpolating between MMD and χ² divergences, developing mollified interaction energy descent algorithms, and analyzing quantization errors in particle-based optimization. Collaborations: Joint work with researchers across institutions including UCL, CMU, and EPFL. Scientific Contributions: Her publications address challenges in sampling from non-log-concave distributions, fairness constraints in Bayesian neural networks, and geometric interpretations of gradient flows in Wasserstein spaces.