Find Academic Supervisors

Aniko HannakView profile

Assistant Professor

• Algorithmic Auditing
• Fairness in Algorithmic Systems
• Online Labor Markets
• +3 more

Prof. Aniko Hannak is an Assistant Professor in the Department of Informatics at the University of Zurich. She earned her PhD from Northeastern University under advisors Alan Mislove and David Lazer, focusing on algorithmic auditing methodologies. Her research addresses societal impacts of large online systems, including filter bubbles, price discrimination, and labor market inequalities. She pioneered Algorithmic Auditing to uncover biases in search engines, freelance platforms, and e-commerce systems. Education: PhD in Computer Science from Northeastern University (2016), BSc in Applied Math from Eötvös Lóránd University (2010). Professional Experience includes roles at CSH & WU Vienna, CEU Budapest, and GESIS Köln. Research Interests: Algorithmic Transparency, Fairness in AI, Online Labor Markets, Digital Ethics Awards include the Best Presentation Award at the 2017 European Symposium on Societal Challenges and a $113k grant from the Russel Sage Foundation. Her work has been featured in Bloomberg, MIT Tech Review, and The Wall Street Journal. Teaching includes courses on data processing, Python for data management, and digital trace data biases. She organizes conferences on fairness in AI and computational social science, and has served on program committees for ICWSM, FAT*, and WWW. Key contributions include exposing racial/gender disparities in gig economies, developing fairness frameworks for sharing platforms, and analyzing feedback loops in automated decision systems.

Michael KrützenView profile

Professor

• Evolutionary Biology
• Genetics
• Animal Behavior
• +5 more

Michael Krützen is a Professor and Director of the Institute of Evolutionary Anthropology (IEA) at the University of Zurich. His research focuses on the social evolution of primates and cetaceans, particularly male cooperation strategies, genetic relationships, and cultural transmission. He leads the Evolutionary Genetics Group, employing genomic and ecological tools to study population dynamics, conservation genomics, and adaptive evolution in species like orangutans and dolphins. Key projects include analyzing genetic signatures of adaptation in marine and primate populations, reconstructing demographic histories, and investigating the role of culture in social evolution. His work integrates field studies, molecular genetics, and computational modeling to address questions about social behavior, reproductive success, and evolutionary processes. Notable contributions include uncovering complex male alliance systems in dolphins and identifying genetic markers for conservation efforts in endangered species. Krützen collaborates internationally, publishing extensively on topics such as dolphin vocal communication, tool use, and the genetic basis of social structures.

• Quantitative Economic History
• Cliometrics
• Historical Demography
• +4 more

Prof. Dr. Robert Stelter is a full Professor of Cliometrics at the University of Basel's Faculty of Business and Economics (WWZ), specializing in quantitative economic history. His work focuses on historical demographic patterns, the development of universities in medieval/early modern Europe, and elite formation processes. He holds a position within the Cliometrics Professorship department and is based at Peter Merian-Weg 6 in Basel, Switzerland. His research combines historical data analysis with modern quantitative methods, particularly using genealogical records and AI-driven heritage book analysis. Key areas include the demographic transition, academic market dynamics in pre-industrial Europe, and the interplay between pronatalist policies and authoritarian governance. Recent projects examine scholars' networks at universities like Ingolstadt, Leipzig, and Leiden, exploring how intellectual elites shaped socio-economic structures. Stelter's publications span cliometric methodologies, historical demography, and institutional economics, with a strong focus on Central and Western Europe. While no specific grants or awards are noted, his work contributes to debates on long-term economic development and historical population dynamics. He can be contacted directly at robert.stelter@unibas.ch.

Diego KuonenView profile

Adjunct Professor

• Business Analytics
• Big Data Analytics
• Data Literacy
• +4 more

Diego Kuonen is an Adjunct Professor at the Research Institute for Statistics and Information Science at the University of Geneva. He holds a PhD in Statistics from the Swiss Federal Institute of Technology (EPFL). His expertise spans Business Analytics, Big Data Analytics, Data Literacy, Data Science, and Statistical Engineering. Kuonen is a co-founder of Statoo Consulting, a Swiss firm specializing in statistical consulting since 2001. His research focuses on data strategy integration, problem framing in data science projects, and governance mechanisms for data use in public health crises. He has co-authored the Swiss Data Literacy Charter , advocating for nationwide data literacy initiatives. His work emphasizes bridging organizational gaps between technical and non-technical stakeholders to achieve sustainable data-driven solutions. Notable contributions include articles in Harvard Business Review , Sloan Management Review , and interdisciplinary journals addressing AI ethics, healthcare data governance, and statistical engineering applications. Kuonen teaches executive courses on data quality strategies and analytics consulting, reflecting his commitment to advancing professional education in data-driven fields.

Jérôme GoudetView profile

Associate Professor

• Population Genetics
• Evolutionary Biology
• Ecology
• +2 more

Jérôme Goudet serves as Associate Professor in the Department of Ecology and Evolution at the University of Lausanne's Faculty of Biology and Medicine, where he has held academic positions continuously since 1995. He currently leads the master program Behavior, Evolution, Conservation (BEC) and previously served as Vice Head of the Department managing finance and human resources from 2001-2004. His educational background includes a Baccalaureat in Biology (1983), DEUG in Biology from University Paris VII (1985), Agronomic Engineer degree from Institut National Agronomique Paris-Grignon (1989), and PhD from University of Wales, Bangor (1993) focusing on The genetics of geographically structured populations . Professor Goudet's research centers on population genetics with emphasis on spatial genetic structure, evolutionary dynamics, and conservation applications. His work bridges theoretical modeling with empirical studies in natural populations, examining how ecological forces shape genetic variation across landscapes. He leads the Goudet research group exploring these themes through interdisciplinary approaches integrating fieldwork, laboratory analysis, and computational methods. He teaches core courses including Statistics for second-year biologists, Population Genetics for undergraduate and graduate students, and specialized R programming workshops. His administrative leadership extends beyond the BEC program to departmental strategic planning and resource management. Outside academia, Professor Goudet maintains active engagement with mountain environments through ski touring, telemarking, snowboarding, and hiking in the Alps and Jura ranges, reflecting his deep connection to the ecological systems he studies.

Stephan GrzesiekView profile

Professor

• Structural Biology
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Protein Dynamics
• +7 more

Stephan Grzesiek is a Professor of Biological NMR Spectroscopy at the Biozentrum, University of Basel, Switzerland. He leads a research group focused on the structural and dynamic characterization of biomolecules using nuclear magnetic resonance (NMR) spectroscopy. His work bridges physics, chemistry, and biology, with a strong emphasis on disease-relevant proteins such as GPCRs, kinases, and HIV-related receptors. Research Interests: His research centers on understanding biomolecular function through atomic-level insights into protein structure, dynamics, and interactions. He focuses on G-protein coupled receptors (e.g., β1-adrenergic receptor, CCR5), tyrosine kinases (e.g., Abl kinase), and membrane-associated signaling complexes. His group develops advanced NMR methodologies for studying unfolded states, hydrogen bonding, and allosteric regulation. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on GPCR-arrestin interactions, kinase regulation mechanisms, and the structural basis of drug action. His work employs high-resolution NMR, often combined with Cryo-EM and biochemical assays, to dissect conformational dynamics, allosteric networks, and signal transduction pathways. Key themes include biased agonism, cholesterol modulation, and the molecular basis of drug inhibition in cancer and infectious disease. Scientific Awards & Recognitions: Laukien Prize (ENC) Fellow, International Society of Magnetic Resonance Honorary Member, National Magnetic Resonance Society of India Chair, Gordon Conference on Computational Aspects of Biomolecular NMR Member, Swiss National Research Council VP, International Society of Magnetic Resonance Advising and Grants: While specific students are not listed, his frequent co-authorship with junior researchers (e.g., Iva Petrovic, Luca Abiko, Sanjana Desai) suggests active mentorship. His research is likely supported by major Swiss and international grants, given the scale and impact of his work. He has led long-term projects on NMR method development and structural biology of signaling proteins. Labs and Teams: He leads a research group at the Biozentrum, University of Basel, integrating NMR spectroscopy, protein engineering, and biophysical analysis. His team collaborates widely with structural biologists and biochemists, contributing to high-impact studies on GPCRs and kinase regulation.

• Immunology
• Infection and Immunity
• Antigen Trafficking
• +12 more

Santiago González F. is an Extraordinary Professor at the Università della Svizzera italiana (USI), affiliated with the Faculty of Biomedical Sciences and the Institute for Research in Biomedicine (IRB) in Bellinzona, Switzerland. He leads the Infection and Immunity research group, focusing on immune responses to infections and cancer. His work integrates molecular immunology, intravital imaging, and nanotechnology to understand immune cell dynamics in vivo. PhD in Microbiology, University of Santiago de Compostela, Spain PhD in Immunology, University of Copenhagen, Denmark Postdoctoral Fellow, Harvard Medical School, USA (2007–2011) His research centers on the mechanisms of antigen trafficking, dendritic cell function, and immune regulation during influenza infection and tumor metastasis. He has made seminal contributions to understanding how SIGN-R1 mediates influenza recognition and how subcapsular sinus macrophages promote melanoma spread. His lab employs cutting-edge intravital microscopy and develops tools like CANCOL for immune cell tracking. The recent publications highlight a strong trend in immune cell dynamics, inflammation modeling, and vaccine development. His work spans from fundamental immunology to translational applications, including mRNA nanovaccines and immunomodulatory drugs. There is a consistent focus on lymph node biology, innate immunity, and real-time imaging of immune responses. Marie Curie Training Site Fellowship (2004) Marie Curie International Outgoing Fellowship (2008) Marie Curie Career Integration Grant (2013) Recognition by Faculty of 1000 Santiago González has secured significant research funding through the European Union’s Marie Curie program and ERC grants, enabling the establishment and growth of his independent research group at IRB. He mentors a multidisciplinary team of scientists and students, contributing to PhD and postdoctoral training programs. His collaborations include partnerships with Rockefeller University and national biotechnology centers. He directs the Infection and Immunity laboratory at IRB, which specializes in intravital imaging, immune cell tracking, and vaccine development. The lab has developed innovative platforms such as stealth mRNA nanovaccines and computational tools for image analysis. The team actively engages in technology transfer and participates in European research networks.

Andreas BaumgartnerView profile

Researcher

• Quantum Electronics
• Nanoelectronics
• Semiconductor Physics
• +7 more

Andreas Baumgartner is a leading researcher in quantum electronics and nanoelectronics at the University of Basel. He currently serves as a Group Leader and Head of the SNI PhD School, with prior roles as Senior Scientist (since 2014) and Postdoctoral Fellow. His work focuses on quantum transport, superconductivity, spintronics, and topological materials, leveraging advanced nanofabrication and cryogenic techniques. Key projects include Cooper pair splitting, Majorana bound states, and quantum dot-based qubits. Education: PhD in Physics (ETH Zurich, 2005), Diploma in Interdisciplinary Science (ETH Zurich, 2000). Awards include EPSRC and Swiss National Science Foundation support. His lab develops ultra-clean carbon nanotube and semiconductor nanowire devices, with contributions to quantum computing hardware and graphene spintronics. Research emphasizes experimental probes of quantum phenomena: high-resolution electrical measurements, cryogenics down to 10 mK, and strain engineering. Recent advancements include long-distance qubit coupling, twisted trilayer graphene superlattices, and photon-mediated qubit interactions. Collaborative efforts with institutions like Kavli Institute and CERN highlight his interdisciplinary impact.

Anastasija CollenView profile

Lecturer

• Cybersecurity
• IoT Security
• Automotive Systems Cybersecurity
• +3 more

Anastasija Collen is a Lecturer at the Research Institute for Statistics and Information Science at the University of Geneva . She holds a Ph.D. from the same institution and specializes in cybersecurity, IoT security, and automotive systems. Her work focuses on developing secure architectures, cryptographic protocols, and regulatory frameworks for connected and automated vehicles. Her research spans Automotive cybersecurity standards and certifications Trust modeling in distributed networks Blockchain applications for IoT security Human-centric risk visualization Data privacy compliance (GDPR) Recent publications emphasize secure automotive systems , including trusted platform modules (TPM), lightweight cryptographic protocols (LOKI-2), and certification roadmaps. She also explores IoT security through frameworks like anomaly-based intrusion detection and blockchain-enhanced defense mechanisms. Collen’s work has been presented at conferences such as IEEE ICCP , ARES , and IEEE EuroS&PW , with over 40 peer-reviewed articles since 2018. She maintains an active presence on ResearchGate and Google Scholar .

• Human Activity Recognition
• Machine Learning
• Sensor Technology
• +3 more

Anna Ferrari is a Researcher at the Research Institute for Statistics and Information Science, University of Geneva. She holds a Ph.D. from the University of Milano-Bicocca and specializes in human activity recognition through sensor-based systems, particularly using inertial data and deep learning techniques. Her work focuses on model personalization and the development of adaptive classification systems for diverse datasets. Her research interests include machine learning applications in sensor technology, data science methodologies for human activity analysis, and the integration of wearable devices. She has contributed to frameworks for collecting and unifying inertial signals to improve activity recognition accuracy. Anna Ferrari's publications span trends in smartphone-based activity recognition, personalized deep learning models, and sensor data homogenization. She actively maintains professional profiles on ResearchGate, LinkedIn, and Google Scholar, reflecting her commitment to academic collaboration and innovation.

Alessandro FacchiniView profile

Professor

• Logic
• Probability Theory
• AI Ethics
• +4 more

Alessandro Facchini is a Professor at the Department of Innovative Technologies at SUPSI - University of Applied Sciences Western Switzerland, based in Lugano, Switzerland. He holds a PhD in Computer Science (2010) from the University of Lausanne and the University of Bordeaux, with prior research roles at institutions including the University of Warsaw, University of Amsterdam, and University of California, Santa Cruz. His current research focuses on logic, rationality theories, probability, and the philosophy and ethics of AI, complemented by past work in automata theory and game theory. He has received notable awards such as the FNP Homing Plus Grant (2012) and the Paul Bernays Award (2011). Education PhD in Computer Science (2010), co-supervised by Prof. J. Duparc (U. Lausanne) and I. Walukiewicz (U. Bordeaux) Doctoral Program in Logic and Foundations of Mathematics (2004-2006), University of Barcelona Master in Humanities (Logic, Linguistics, Mathematics) (1998-2003), University of Neuchâtel Research Interests : Facchini’s work bridges formal logic, AI ethics, and foundational questions in probability and quantum theory. His recent projects include the European University on AI in Curricula and SmartH2O, a platform leveraging gamification for water resource management. He explores topics like quantum rational preferences, causal models, and the societal implications of AI systems. Awards & Recognition : FNP Homing Plus Grant (2012) Paul Bernays Award (2011) Teaching & Leadership : Facchini leads courses such as “Ethics of Technology and Engineering” and “Fundamentals of Artificial Intelligence,” emphasizing ethical and legal dimensions of data analytics. He also oversees projects like the Smart UniverCity initiative. Collaborations & Labs : Active member of IDSIA (Istituto Dalle Molle di Studi sull’Intelligenza Artificiale), a leading Swiss AI research institute. His work often intersects interdisciplinary teams addressing environmental, healthcare, and ethical challenges posed by AI.

• Finance
• Artificial Intelligence
• Sustainable Finance
• +3 more

Joerg Osterrieder is an Associate Professor of Finance and Artificial Intelligence at the University of Twente, Netherlands, and Professor of Sustainable Finance at Bern Business School, Switzerland. He earned his Ph.D. in Mathematics (2007) from ETH Zurich, Swiss Federal Institute of Technology. Ph.D. in Mathematics, ETH Zurich (2007) His research spans financial statistics, quantitative finance, and artificial intelligence applications in finance , with a focus on sustainable finance, ESG scoring systems, and corporate share buyback strategies. He integrates machine learning techniques into financial modeling and digital finance innovations. Recent publications address ESG scoring engines, share buyback execution anomalies, and deep reinforcement learning in finance , reflecting his interdisciplinary approach to merging AI with financial systems. He actively contributes to editorial boards, including Financial Blockchain and AI in Finance .

• Natural Language Generation
• Computational Linguistics
• Referring Expression Generation
• +5 more

Emiel Krahmer is a Professor in the Department of Communication and Cognition at Tilburg University's School of Humanities in the Netherlands. With over 368 publications and more than 7,000 citations, he is a leading researcher in Natural Language Generation (NLG) and Computational Linguistics. His work spans multiple subfields including Referring Expression Generation, Data-to-Text systems, human evaluation methodologies, and more recently, the application of Large Language Models in therapeutic contexts. Professor Krahmer's research interests focus on the computational aspects of language generation, with particular emphasis on how machines can produce human-like referring expressions, generate text from structured data, and evaluate the quality of automatically generated language. His work combines theoretical linguistics with practical applications, bridging the gap between computational models and human language production. He has made significant contributions to understanding the psychological aspects of language generation and how these can inform computational models. His recent publications demonstrate a clear evolution in his research trajectory, moving from foundational work in referring expression generation to exploring the capabilities of modern Large Language Models in specialized contexts like motivational interviewing. The analysis of his 15 most recent articles reveals a strong focus on reproducibility in human evaluation studies, the application of NLG techniques in healthcare contexts, and the development of robust evaluation frameworks for NLG systems. His work increasingly intersects with clinical psychology and therapeutic applications, showing how language generation technology can be adapted for sensitive communication contexts. Professor Krahmer has been instrumental in organizing key events in the NLG community, including serving as co-editor for the Proceedings of the First Workshop on Natural Language Generation in Healthcare (2021). His work on human evaluation best practices has helped establish standards in the field, while his research on reproducibility addresses critical methodological challenges in NLP research. His collaborations span multiple institutions and disciplines, reflecting the interdisciplinary nature of his work. He has mentored numerous researchers who have gone on to make their own contributions in computational linguistics, as evidenced by his extensive co-authorship network. While specific lab affiliations aren't detailed in the provided information, his work is clearly embedded within Tilburg University's research ecosystem focused on language technology and human communication.

Allison OkamuraView profile

Professor

• Haptics
• Teleoperation
• Virtual Environments
• +5 more

Allison M. Okamura is a Professor in the Department of Mechanical Engineering at Stanford University, with a courtesy appointment in Computer Science. She specializes in haptics, teleoperation, medical robotics, and virtual environments, contributing to human-machine communication through wearable haptic devices. Her work emphasizes intuitive, unobtrusive design for ubiquitous use. Education: BS in Mechanical Engineering, University of California at Berkeley (1994) MS and PhD in Mechanical Engineering, Stanford University (1996, 2000) She has held editorial leadership roles, including Editor-in-Chief of IEEE Robotics and Automation Letters and the IEEE International Conference on Robotics and Automation Conference Editorial Board . Her research spans neuromechanics, rehabilitation, and soft robotics, with applications in virtual reality and prosthetics. Scientific Awards: 2020 IEEE Engineering in Medicine and Biology Society Technical Achievement Award 2019 IEEE Robotics and Automation Society Distinguished Service Award 2016 Duca Family University Fellow in Undergraduate Education at Stanford IEEE Fellow Okamura leads the CHARM Lab , focusing on collaborative haptics and robotics. She co-chaired the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems and serves as Deputy Director of the Wu Tsai Stanford Neurosciences Institute.

Naonori UedaView profile

Research Professor

• Machine Learning
• Artificial Intelligence
• Physics-Informed Deep Learning
• +5 more

Naonori Ueda is a Research Professor and Deputy Director at RIKEN Center for Advanced Intelligence Project. He also serves as a Visiting Fellow at NTT Communication Science Laboratories, Research Supervisor for Mathematical Information Platform at Japan Science and Technology Agency (JST), and Visiting Professor at Kobe University's Graduate School of System Informatics. His distinguished career spans academia, government research institutions, and industry collaboration, with significant contributions to advancing artificial intelligence and machine learning applications across multiple scientific domains. Dr. Ueda's research interests focus on the intersection of machine learning, artificial intelligence, and physical sciences. He specializes in physics-informed deep learning approaches that integrate governing physical equations with neural network architectures. His work spans geophysical data analysis, remote sensing applications, computational seismology, and environmental monitoring systems. He has pioneered methods for crustal deformation modeling, earthquake prediction, tsunami inundation forecasting, and satellite imagery analysis using advanced machine learning techniques. His research demonstrates how AI can solve complex scientific problems by bridging the gap between data-driven approaches and physical domain knowledge. His publication record reveals a strong trend toward applying machine learning to solve real-world geophysical and environmental challenges. His recent work shows increasing sophistication in physics-informed neural networks that incorporate domain-specific knowledge into deep learning architectures. The publications span high-impact journals like Nature Communications, demonstrating the interdisciplinary significance of his work. His research consistently focuses on practical applications of AI for disaster prevention, environmental monitoring, and scientific discovery. Fellow of IEICE (Institute of Electronics Information and Communication Engineers) Member of Japan Prize field review committee Selection Committee Member for Brilliant Female Research Award (The Jun Ashida Award) Member of Kyoto Prize Selection Committee Dr. Ueda has secured substantial research funding through multiple government-sponsored projects including RIKEN Pioneering Project 'Prediction Science,' JST AIP Acceleration Research projects on weather prediction and drug discovery, and AMED-funded medical research initiatives. His leadership extends to serving as Sub-project Director for Japan's Moonshot R&D Project. He actively mentors researchers through his roles at RIKEN, NTT, and various academic institutions, fostering the next generation of AI scientists. As Deputy Director of RIKEN Center for Advanced Intelligence Project, Dr. Ueda leads one of Japan's premier AI research initiatives. He also serves on the Advisory Board of Kobe University's Mathematical and Data Science Center and Kyoto University's Graduate School of Informatics. His leadership extends to coordinating the AI Seminar at Osaka Industrial Association and supervising the Keihanna 'Edison Society' at the International Institute for Advanced Studies, demonstrating his commitment to bridging academic research with industrial applications.