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Tanja KäserView profile

Assistant Professor

• Machine Learning
• Educational Data Mining
• Learning Analytics
• +3 more

Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling. PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich) Postdoctoral Researcher at Stanford University's Graduate School of Education Research Focus Explainable AI for education Adaptive learning environments Behavioral pattern recognition Generative AI applications in pedagogy User modeling and personalization Learning analytics in unstructured settings Recent Publication Trends Her 2024-2023 work demonstrates: Interpretable clustering of learners Transformer-based language learning prediction GAN applications for creative education Teacher-AI collaboration frameworks Explainability validation methods Modular network architectures Scientific Recognition Fritz Kutter Award for best Swiss computer science thesis (2015) Advising & Collaborations Currently supervises multiple PhD students including: Cock Jade Maï L Glandorf Dominik Güres Fatma-Betül Neshaei Seyed Parsa Radmehr Bahar Shibu Abhinand Shved Ekaterina Research Infrastructure Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.

Cyrill P. RigamontiView profile

Professor

• Intellectual Property Law
• Antitrust/Competition Law
• Copyright Law
• +4 more

Professor Cyrill P. Rigamonti is a Tenured Professor of Law at the University of Bern, where he teaches intellectual property law, antitrust/competition law, and media law. He serves as Director of the Institute for Economic Law and Chair of the Department for Economic Law, and is the founder of the Center for the Law of Innovation and Competition (CLIC). Professor Rigamonti is also an elected member of the Federal Arbitral Commission on Copyright and Neighboring Rights, serving as its President since 2024, having previously been Vice President since 2020. Professor Rigamonti holds a S.J.D. from Harvard Law School, an LL.M. from Georgetown University Law Center, and a J.D./Ph.D. from the University of Zurich. He also earned a habilitation from the University of Bern and is admitted to practice in New York and Zurich. His academic career includes a visiting position at the University of Oxford's Faculty of Law and Oxford Intellectual Property Research Centre in Spring 2024. Professor Rigamonti's research focuses on intellectual property law, particularly copyright, patent, and trademark law, as well as competition law. His work examines the intersection of intellectual property with fundamental rights, digital technologies, and international harmonization efforts. He has made significant contributions to understanding Swiss copyright law in comparative perspective, particularly regarding non-original photographs, parody exceptions, and internet service provider liability. His scholarly output shows consistent focus on the evolving relationship between copyright law and digital technologies, with particular attention to secondary liability, parody exceptions, and the protection of non-creative works. Professor Rigamonti's work bridges theoretical analysis with practical legal application, as evidenced by multiple citations of his scholarship in Swiss Federal Supreme Court decisions. Prix Jubilé from the Swiss Academy of Humanities and Social Sciences (first legal scholar to receive this award) Mancini and Addison Brown prizes from Harvard Law School Professor Rigamonti actively engages with the legal profession through his service on editorial boards including the leading Swiss intellectual property law journal (sic!), as a peer reviewer for the International Review of Intellectual Property and Competition Law (IIC), and as National Correspondent for the Journal of Intellectual Property, Information Technology and E-Commerce Law (JIPITEC). He also serves as Vice President of the Board of the Hans Sigrist Foundation at the University of Bern and on the list of arbitrators for the Swiss-U.S. Data Privacy Framework Binding Arbitration Program.

• Civil procedure
• Litigation dynamics
• Empirical legal studies
• +4 more

William H. J. Hubbard is an Assistant Professor of Law at the University of Chicago Law School, where he conducts rigorous empirical research at the intersection of law, economics, and judicial systems. His scholarly work examines civil procedure through quantitative methodologies, with particular focus on litigation dynamics, pleading standards, and cross-jurisdictional court comparisons. Professor Hubbard's research interests encompass several critical domains in contemporary legal scholarship: Civil procedure and litigation dynamics Empirical analysis of judicial behavior and court efficiency Law and economics applications to procedural rules Settlement negotiation strategies and strategic behavior in litigation Comparative analysis of court systems across jurisdictions Technological solutions to judicial administration challenges His scholarly contributions reveal sophisticated methodological approaches that bridge doctrinal legal analysis with economic theory and statistical testing. Hubbard's work frequently employs large datasets to test theoretical models of litigation behavior, particularly examining how procedural rules affect substantive justice outcomes across different judicial systems. Professor Hubbard maintains an active research agenda with significant publications in leading law and economics journals. His work has been widely accessed through SSRN, with notable papers like 'The Supreme Court of India: An Empirical Overview of the Institution' receiving over 2,000 downloads, demonstrating substantial engagement from the academic community. His scholarly collaborations span multiple continents, working with researchers at Tel Aviv University, Cornell Law School, National Law University Delhi, and other international institutions. This global network reflects the transnational relevance of his research on judicial systems and procedural rules, particularly his comparative work analyzing U.S. federal courts alongside systems in Taiwan and India.

Michael WolfView profile

Professor

• Nonparametric Inference Methods
• Multiple Testing Procedures
• Financial Econometrics
• +4 more

Michael Wolf is a Professor of Econometrics and Applied Statistics at the University of Zurich's Department of Economics, where he has been since 2005. He holds a Vordiplom in Mathematics from the University of Augsburg (1991), an MSc in Statistics from Stanford University (1995), and a PhD in Statistics from Stanford (1996). His research focuses on nonparametric inference methods, multiple testing procedures, financial econometrics, and large-dimensional covariance matrices. He has contributed to influential work on covariance matrix estimation, portfolio optimization, and statistical methodology. Wolf has served as an Associate Editor for journals including the Annals of Statistics (2004–2007), Statistics and Probability Letters (2014–2016), and the Journal of Financial Econometrics (2019–2022). His academic career includes roles at institutions like UCLA, Universidad Carlos III, and Universitat Pompeu Fabra, where he advanced from Assistant to Associate Professor before joining UZH. His research explores resampling techniques, financial markets analysis, and statistical methods for handling high-dimensional data. Notable contributions include the development of shrinkage-based covariance matrix estimators and their applications in portfolio management. He collaborates with researchers like Olivier Ledoit on nonlinear shrinkage methods and maintains software packages like covShrinkage for covariance matrix estimation. Wolf advises students on thesis topics in econometrics and maintains active roles in professional associations such as the American Statistical Association and the Institute of Mathematical Statistics. His work bridges theoretical statistics and applied finance, addressing challenges in modern portfolio theory, risk management, and statistical inference.

Margot MichelView profile

Professor

• Family Law
• Family Procedural Law
• Medical Law
• +7 more

Prof. Dr. iur. Margot Michel is a Professor at the University of Zurich's Faculty of Law, where she holds the Chair of Private Law, Comparative Law, Animal Welfare Law and Legal Philosophy. She is actively engaged in research and teaching across multiple legal domains including family law, medical law, and animal law. Her research interests span Family Law and Family Procedural Law, Medical Law, Personal Law, Disability Law, and particularly Animal Law where she has made significant contributions. Michel is pioneering work in the legal recognition of animals, exploring how legal frameworks can move beyond treating animals as mere property. Her habilitation thesis "Legal Community with Animals. A Search for Clues" (2024) represents a major contribution to this field. Michel's publication record shows a clear evolution from traditional family and medical law toward increasingly innovative work at the intersection of law and animal studies. Her recent publications demonstrate a sophisticated integration of legal theory, practical application, and ethical considerations, particularly in how legal systems can better accommodate non-human entities. She has been instrumental in establishing animal law as a legitimate academic discipline in Switzerland. She serves as co-editor of the Journal of Animal Law, Ethics and One Health (LEOH) since 2023 and is a member of the editorial board of FamPra.ch - Praxis des Familienrechts since 2022. Michel has organized and participated in numerous conferences including the "Animals in Switzerland, Japan and Beyond" symposium at the University of Zurich in March 2024. Co-editor, Journal of Animal Law, Ethics and One Health (LEOH) since 2023 Member of editorial board, FamPra.ch - Praxis des Familienrechts since 2022 Co-founder and leader, Center for Animal Law and Ethics (CALE) Participant in NRP 79 – Animals, Research and Society Michel leads the Center for Animal Law and Ethics (CALE) at the University of Zurich, which serves as a hub for interdisciplinary research connecting legal scholars with veterinarians, philosophers, and scientists. Through CALE, she has organized numerous workshops on the 3Rs principle (Replacement, Reduction, Refinement) in animal research and has been instrumental in developing university policies to accelerate animal replacement in research settings.

Heinz RienerView profile

Researcher

• Logic Synthesis
• Formal Methods
• Computer-Aided Verification
• +4 more

Heinz Riener is a Researcher at the Integrated Systems Laboratory (LSI) within the School of Computer and Communication Sciences (IC) at EPFL, Lausanne, Switzerland. He holds a Ph.D. (Dr.-Ing.) in Computer Science from the University of Bremen, Germany. Previously, he worked at the German Aerospace Center (DLR) and the University of Bremen's Reliable Embedded Systems group. His research focuses on logic synthesis , formal methods , and computer-aided verification of hardware and software systems. Key areas include quantum computing (e.g., AQFP circuits), nanotechnology (e.g., RFET-based circuits), and emerging technologies like adiabatic quantum-flux parametron systems. Developed open-source tools like mockturtle and easy for logic synthesis and ESOP forms. Principal Investigator on projects like the Open Logic Synthesis Libraries initiative. Active in program committees for conferences like DAC, DATE, and FDL. Collaborates with institutions such as TU Graz, TU Hamburg, and UC Berkeley. His work emphasizes reproducibility and open-source collaboration in logic synthesis, contributing to benchmarks and libraries widely used in academia and industry.

• Behavioral Ethics
• Law and Psychology
• Regulatory Compliance
• +4 more

Yuval Feldman is a prominent Professor at Bar-Ilan University's Faculty of Law in Israel, where he has established himself as a leading scholar in behavioral ethics and law. His work bridges legal theory with psychological insights to examine how people actually behave in legal contexts rather than how traditional legal theory assumes they will behave. Feldman's research spans multiple institutions through collaborations with scholars from Hebrew University, University of San Diego, Harvard Law School, and other international institutions. Feldman's research interests focus on the intersection of behavioral ethics, law, and psychology. His work examines how subtle psychological factors influence compliance with legal norms, the effectiveness of different regulatory approaches, and how organizations can design systems that account for human ethical limitations. He has made significant contributions to understanding 'bounded ethicality' - the concept that even good people routinely engage in unethical behavior without awareness due to cognitive limitations and situational factors. His research has practical implications for regulatory design across multiple domains including corporate governance, environmental policy, and consumer protection. Analysis of Feldman's most recent publications reveals a consistent focus on how behavioral insights can improve legal and regulatory systems. His work demonstrates how traditional legal assumptions about rational actors need updating with psychological evidence about actual human behavior. Recent articles show increasing attention to polarization's impact on compliance, the role of social identity in legal obedience, and how trust mediates regulatory effectiveness. His scholarship consistently applies experimental methods to test theoretical propositions about law's influence on behavior. Feldman is best known for his book 'The Law of Good People: Challenging States' Ability to Regulate Humane Behavior' (Cambridge University Press, 2018), which synthesizes his research on how legal systems can better account for the psychology of ordinary unethicality. His work has been published in top law reviews including Northwestern University Law Review, Harvard Public Law Working Paper series, and Texas Law Review. Through extensive collaborations with interdisciplinary scholars, Feldman has developed innovative approaches to studying legal compliance that integrate experimental methodologies from psychology with traditional legal scholarship. His research program demonstrates how understanding the psychological mechanisms behind rule-following can lead to more effective regulatory design that acknowledges human cognitive limitations while promoting ethical behavior.

Clara StreuleView profile

Lecturer

• Statistical Estimation
• Sparse Regression
• Variable Selection
• +3 more

Clara Streule is a Lecturer at ETH Zürich, affiliated with the Department of Hydraulic Engineering. Her research focuses on statistical methodologies, particularly in sparse regression, variable selection, and false discovery rate (FDR) control. She contributed to the development of the SLOPE framework, which integrates sorted L1 norm penalties to address challenges in high-dimensional data analysis. The approach is inspired by BHq multiple testing procedures and offers enhanced power over traditional methods like LASSO. Her work emphasizes applications in statistical estimation and linear models, with implications for data science and machine learning. Streule’s research has been disseminated through key publications, including a manuscript detailing SLOPE’s theoretical foundations and practical implementation. She is reachable at streule@vaw.baug.ethz.ch .

• Physiotherapy
• Geriatrics
• Neurorehabilitation
• +5 more

Katia Giacomino is a Researcher at HES-SO Valais-Wallis - University of Health, affiliated with the Health School's Physiotherapy Department. Her primary roles include academic research and contributing to educational programs in neurorehabilitation and geriatrics. She holds a BSc in Physiotherapy and has been actively involved in multidisciplinary projects addressing elderly healthcare, clinical education, and assistive technology. Her research focuses on hospital-associated disability in older adults, evidence-based practice interventions for nurses, and cognitive/physical multidomain training programs. Notable contributions include development of the FADIR hip impingement test, the StayFitLonger home-based intervention study, and analysis of Peyton’s 4-step teaching approach efficacy. She has also contributed to prosthetics research involving gaze-tracking and myoelectric control systems. Her work spans over 15 peer-reviewed articles between 2020-2024, with a focus on systematic reviews, randomized controlled trials, and dataset publications. Key collaborations include institutions in Switzerland, Canada, and Belgium. Giacomino’s research emphasizes practical applications of technology in healthcare, improving elderly functional outcomes, and optimizing educational methodologies in health professions.

Damian KozburView profile

Associate Professor

• Econometrics
• Machine Learning
• High-Dimensional Data Analysis
• +3 more

Prof. Damian Kozbur is an Associate Professor of Econometrics at the University of Zurich's Department of Economics, affiliated with the Digital Society Initiative. He holds a PhD from the University of Chicago (2014) and has been at UZH since 2016. His research focuses on integrating economic theory with machine learning tools, particularly in high-dimensional econometric models. Key areas include estimation techniques for weak instruments, panel data analysis, and clustering methods for statistical inference. He has contributed to journals like Econometrica and the Journal of Business and Economic Statistics. His work addresses applications such as market dynamics, causal inference in complex data, and policy analysis. Education: PhD in Econometrics from the University of Chicago Booth School of Business (2014), BA in Mathematics (2008). Previous roles include ETH Zurich Fellow (2014–2016). Teaching includes advanced econometrics and machine learning courses for doctoral students. Research Interests: High-dimensional econometrics, model selection, statistical inference, and applications of machine learning to economic problems. His recent articles tackle spatial dependence robustness, debiased machine learning, and forecast hedging with random forests. Professional Service: Associate Editor of the Journal of Business and Economic Statistics since 2022. Active in reviewing for top econometric outlets like Journal of Econometrics and Econometric Theory.

Hassib ChehadeView profile

Associate Professor

• Pediatric Nephrology
• Glomerular Filtration Rate (GFR) Estimation
• Complement Inhibition Therapy
• +7 more

Hassib Chehade is an Associate Professor at the Faculty of Biology and Medicine (FBM) of the University of Lausanne (UNIL) and a Clinical Professor at the Faculty of Science and Medicine of the University of Fribourg. He serves as Head Physician of the Pediatric Nephrology Unit at the Lausanne University Hospital (CHUV) and is President of the Pediatric Renal Transplant Group at CHUV and HUG. His academic and clinical work is centered on pediatric nephrology, with a strong emphasis on renal function assessment and transplantation. Education: Medical Degree and Doctor of Medicine (MD), Lebanese University, Beirut (2005) FMH Specialist in Pediatrics (2006) Interuniversity Diploma in Pediatric Nephrology, University of Montpellier (2008) FMH Specialist in Pediatric Nephrology (2008) MicroMBA, CHUV (2018) His research interests include pediatric glomerular filtration rate (GFR) estimation, complement inhibition therapies for glomerular diseases, reduction of invasive uro-radiological procedures in children, and development of kidney transplantation from donors after circulatory death. His work integrates clinical innovation with translational research to improve outcomes in children with kidney diseases. The recent publications reflect a consistent focus on refining GFR estimation methods using biomarkers like creatinine, cystatin C, and NGAL, validating these against gold-standard inulin clearance. Additional studies explore therapeutic strategies in nephrotic syndrome, renal transplantation, and tubular function, demonstrating a comprehensive approach to pediatric kidney disease. The articles span clinical trials, biomarker validation, and physiological assessments. Scientific Awards: No specific awards listed in the provided text. Advising and Grants: Dr. Chehade has led multiple externally funded research projects, including principal investigator roles supported by the Swiss Kidney Foundation, Wyeth Foundation, and Lausanne Transplantation Foundation. He has also co-investigated studies funded by the Swiss National Science Foundation and NCCR. He mentors students and residents through teaching roles at UNIL and has served on academic committees, including the Skills Commission and student progress monitoring at the University of Fribourg. Labs and Teams: He leads the Pediatric Nephrology Laboratory at CHUV, where ongoing projects focus on chronic kidney disease, GFR modeling, and novel biomarkers. He collaborates within the Women-Mother-Child Department and the Pediatric Renal Transplant Group, fostering interdisciplinary research and clinical care.

• Physiotherapy
• Geriatrics
• Neurorehabilitation
• +3 more

Katia Giacomino is a Researcher at the HES-SO Valais-Wallis - University of Health , specializing in Physiotherapy with a focus on Geriatrics and Neurorehabilitation . Her work emphasizes evidence-based practice , functional decline prevention in older adults, and multidomain training for cognitive improvement. Holds a BSc HES-SO in Physiotherapy Active in multidisciplinary collaborations across Europe Research interests include: Development of standardized assessment tools for hospital-associated disability Creation of targeted balance exercise programs for multiple sclerosis patients Implementation of computerized home-based interventions like StayFitLonger Evaluation of multimodal datasets for prosthetic control enhancement Her publications cover systematic reviews , randomized controlled trials , and methodological frameworks for clinical research, with recent work on machine learning applications in bias assessment of medical trials.

• Psychological Testing
• Psychometrics
• Diagnostics
• +2 more

Benjamin Spicher serves as a Scientific Collaborator at the Center for Test Development and Diagnostics within the Department of Psychology, Faculty of Letters and Human Sciences at the University of Fribourg. His research concentrates on psychological testing methodologies, psychometric validation, diagnostic assessment systems, cognitive evaluation frameworks, and educational measurement applications. He specializes in developing standardized instruments for clinical and educational settings, with emphasis on reliability analysis and cross-cultural adaptation of assessment tools. The Department of Psychology hosts specialized research units including Cognitive Development, Sleep Regulation, Clinical Psychology and Psychotherapy, and Visual Neuroscience groups. Dr. Spicher's diagnostic work intersects with multiple teams, particularly supporting research requiring rigorous measurement protocols and validation procedures across developmental, clinical, and cognitive domains.

Patric EichelbergerView profile

Professor

• Movement biomechanics of the lower extremity
• Movement analysis
• Biomechanics in injury prevention and rehabilitation
• +3 more

Prof. Dr. Patric Eichelberger is a Professor and Head of the Bern Movement Lab at the Bern University of Applied Sciences, School of Health Professions, Department of Physiotherapy. He leads the Foot Biomechanics and Technology Research Group, focusing on quantitative assessment of human movement and biomechanics in injury prevention and rehabilitation. His work bridges clinical practice with technological innovation, particularly in foot biomechanics and orthopedic technology applications. Dr. Eichelberger's research interests center on movement biomechanics of the lower extremity, with special emphasis on foot biomechanics, movement analysis techniques, and biomechanics applications in injury prevention and rehabilitation. His work explores how current technologies can be applied to transfer objective assessment of movement biomechanics from laboratory settings into clinical routine. Specific areas of investigation include footwear and orthoses for running-related injuries, the relationship between running biomechanics and injury, and the development of innovative measurement techniques for dynamic postural stability. His recent publication trends show a strong focus on clinical biomechanics applications, with particular emphasis on ankle and foot biomechanics, movement analysis in injury contexts, and innovative measurement techniques. His work frequently appears in journals related to biomechanics, physiotherapy, orthopedics, and sports medicine, demonstrating interdisciplinary collaboration across these fields. The research consistently applies quantitative methods to address clinically relevant questions in movement science. Prof. Eichelberger actively supervises master's thesis projects through the Bern Movement Lab and teaches across multiple health profession programs. His teaching portfolio includes Quantitative Research Methods and Applied Statistics, Movement Biomechanics, Gait Analysis, and Biomechanical Models. He is also involved in the Center Health Technologies as Co-Head and serves on the Committee for 'Human Digital Transformation' at BFH. His laboratory infrastructure includes the Bern Movement Lab, Bern Mobility Centre, and Bern Pain & Stress Lab, which provide comprehensive facilities for biomechanical assessment, movement analysis, and clinical testing. Through partnerships with institutions like Ortho-Team AG, Praxisklinik Rennbahn AG, and Bern University Hospital, his research maintains strong clinical relevance while advancing methodological approaches in movement science.