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Ana KlimovicView profile

Assistant Professor

• Cloud Computing
• Operating Systems
• Distributed Systems
• +4 more

Ana Klimovic is an Assistant Professor at the Department of Computer Science, ETH Zürich, and Deputy Head of the Institute for Computing Platforms. She leads the Efficient Architectures and Systems Lab (EASL) and focuses on optimizing cloud computing performance and resource efficiency. Education: Ph.D. in Electrical Engineering (Stanford University), M.S. in Electrical Engineering (Stanford), B.A.Sc. in Engineering Science (University of Toronto) Previous Roles: Research Scientist at Google Brain Her research spans cloud computing, operating systems, distributed systems, and their intersection with machine learning. Key areas include cloud-native programming models, elastic storage, GPU sharing, and data pipeline optimization. The 2025-2024 articles highlight trends in serverless computing, large language model (LLM) serving, GPU optimization, and data-centric ML systems. Themes include elasticity, resource multiplexing, heterogeneous computing, and infrastructure for AI/ML workloads. Scientific Awards: Microsoft Research PhD Fellowship, Stanford Graduate Fellowship She has led research projects on ephemeral storage, distributed training automation, and cost-efficient ML preprocessing, with grants from Microsoft Research and Stanford.

Lorin SchöniView profile

Lecturer

• Human-Centered Security
• Human-Computer Interaction
• Human-AI Interaction
• +6 more

Lorin Schöni is a PhD candidate at ETH Zürich, actively contributing to the Security, Privacy and Society research group since October 2022. Concurrently, he serves as a Lecturer at the Department of Humanities, Social and Political Sciences, where he teaches the course Focus on the Human: Human-Centered Security and Privacy Lab (Autumn Semester 2025, Unit 851-0391-00L). His research focuses on human-centered approaches to cybersecurity , particularly through three key domains: Human-Computer Interaction - Investigating design decisions that influence user behavior in digital security contexts Extended Reality Applications - Developing immersive training systems for phishing prevention Usability Engineering - Creating intuitive security interfaces with explainable AI components Recent publications highlight his work at the intersection of autonomous motivation theory and personalized cybersecurity training , with notable presentations at top venues including CHI 2025 and SOUPS 2024. His research aims to transform security from a restrictive framework into a collaborative partnership between users and digital systems, as emphasized in his award-winning work on human-centered cybersecurity.

• Multiscale Modeling
• Multiphysics Modeling
• Biophysics
• +7 more

Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.

• Machine Learning
• Bioinformatics
• Computational Biology
• +5 more

Jian Peng is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on computational biology, machine learning, and their applications to protein structure prediction, drug design, and molecular modeling. He has contributed to advancements in antibody engineering, protein-ligand docking, and generative models for biological systems. Key research areas include: Machine Learning for Molecular Modeling Protein Structure Prediction Antibody and Peptide Design Genomics and Single-Cell Analysis Structure-Based Drug Discovery His work emphasizes integrating deep learning techniques with biological datasets to address challenges in precision medicine, drug development, and systems biology. Notable achievements include developing the FastFold system to accelerate AlphaFold training and pioneering flow-based methods for antibody design. Awards include the Overton Prize (2020), recognizing contributions to computational biology. His research has been published in top journals and conferences, spanning topics from protein mutation prediction to geodesic-based immune complex modeling.

• Bioinformatics
• Computer Architecture
• Genome Analysis
• +3 more

Can Firtina is a Lecturer at ETH Zurich's Department of Information Technology and Electrical Engineering and a Senior Researcher in the SAFARI Research Group. His research focuses on accelerating genome analysis through algorithm-architecture co-design, particularly leveraging hardware-software integration for bioinformatics workloads. He holds a PhD in Electrical and Computer Engineering from ETH Zurich and degrees from Bilkent University. As of Fall 2025, he will join the University of Maryland, College Park (UMD) as an Assistant Professor of Computer Science. Education: PhD in Electrical and Computer Engineering (D-ITET), ETH Zurich MSc in Computer Engineering, Bilkent University BSc in Computer Engineering, Bilkent University Research Interests: His work bridges bioinformatics and computer architecture, emphasizing real-time, accurate, and energy-efficient genome analysis. Key areas include raw nanopore signal processing (e.g., RawHash, Rawsamble), hardware-software co-design for bioinformatics, and scalable metagenomic analysis. His algorithms address noise mitigation and accelerate applications like assembly polishing (Apollo) and alignment remapping (AirLift). Labs & Collaborations: He leads research within the SAFARI Group, collaborating with institutions like NVIDIA, AMD, and Huawei. His contributions span tools like GenASM (approximate string matching) and BLEND (fuzzy seed matching). He also organizes workshops on bioinformatics acceleration and serves on review boards for venues like ISMB and RECOMB. Future Directions: Future work includes end-to-end raw signal analysis without basecalling, reference-free genome assembly, and leveraging emerging hardware for real-time field applications. He will expand these efforts at UMD, hiring students in Fall 2025.

• Causal Analysis
• Econometrics
• Machine Learning
• +7 more

Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.

• Exercise Physiology
• Sports Medicine
• Diabetes Management
• +3 more

Prof. Oliver Faude is a Professor and Researcher at the Department of Motor Performance & Biomechanics within the University of Basel's Department of Sport, Exercise and Health (DSBG). His research focuses on exercise physiology, sports medicine, and the application of physical activity in managing chronic conditions like type 2 diabetes. He supervises doctoral students, including Vivien Hohberg, whose work on telephone-based health coaching for diabetes patients was published in the Journal of Science and Medicine in Sport. Faude collaborates on projects such as the dbcoach intervention, funded by Innosuisse and health insurers, demonstrating how personalized coaching increases physical activity in diabetic populations. His work also extends to musculoskeletal imaging innovations, such as the UMUD web application for ultrasonography data access, and the PrepAir study addressing chemotherapy-induced sensory dysfunction in children. Faude's interdisciplinary approach integrates clinical research, biomechanics, and public health, with a particular emphasis on aging populations and pediatric oncology. He contributes to injury prevention strategies in sports like badminton and soccer, while advancing methodologies for muscle volume assessment via 3D ultrasound and MRI comparisons. Key Projects: dbcoach program, PrepAir study, musculoskeletal imaging tools, agility training for frailty prevention. Grants: Innosuisse, SwissLife Foundation, Voluntary Academic Society of Basel. Students: Vivien Hohberg (PhD). Labs/Teams: Motor Performance & Biomechanics lab, collaborations with Prof. Bart Roelands (Vrije Universiteit Brussel) on overtraining syndrome research.

• Media Studies
• Literature
• Poetry
• +4 more

Maye Christian Harun serves as a Lecturer in the Department of Media Studies within the Faculty of Humanities at the University of Basel, Switzerland. Based at Holbeinstrasse 12 in Basel, Harun maintains an active research profile spanning media studies, literature, and cultural analysis. Harun's research interests focus on the intersection of literary traditions and contemporary media forms. Specializing in poetry performance, German Romantic literature, and horror genre adaptations, their work examines how classical texts are reinterpreted through modern media frameworks. Particular attention is given to vocal delivery in poetry readings, emotional impact of illustrated literary works, and transmedia adaptations of horror literature. Recent publications demonstrate expertise across diverse media contexts, analyzing Thomas Kling's poetry performances, illustrated editions of Goethe's Werther, and Lovecraftian horror in role-playing games. This multidisciplinary approach bridges traditional literary scholarship with contemporary media studies concerns. Harun maintains professional engagement through the University of Basel's academic channels, contributing to the Department of Media Studies' scholarly output while connecting literary traditions with evolving media landscapes.

Jonathan ZhangView profile

Assistant Professor

• Health Economics
• Public Finance
• Mental Health
• +3 more

Jonathan Zhang is an Assistant Professor at Duke University's Sanford School of Public Policy and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). He is also affiliated with the US Veterans Affairs Office of Mental Health. Previously, he served on the faculty at McMaster University and was a Postdoctoral Scholar at Princeton University. His academic journey includes a PhD in Economics from Stanford University (2020) and a BSc from UBC. Dr. Zhang's research spans health economics and public finance, with particular focus on physician behavior, health policies, and safety net programs. His work demonstrates deep interest in mental health and substance use issues, examining how healthcare systems impact vulnerable populations. His research methodology often leverages quasi-random assignment and natural experiments to establish causal relationships in complex healthcare settings. His publication record reveals significant contributions to understanding healthcare disparities, particularly regarding racial differences in medical testing accuracy, socioeconomic status impacts on mental health access, and veteran healthcare outcomes. His work frequently appears in prominent working paper series, with numerous 2025 publications indicating active and ongoing research programs. Dr. Zhang maintains active professional engagement through his Google Scholar profile and personal website (jonathanzhang.net). He will be visiting the University of Copenhagen from August 1 - November 15, 2025, suggesting international collaboration and scholarly exchange.

Laura T. StarksView profile

Professor

• Asset Pricing
• Corporate Finance
• Corporate Governance
• +7 more

Laura T. Starks is a Professor of Finance holding the George Kozmetsky Centennial University Distinguished Chair at the McCombs School of Business, University of Texas at Austin. She has served the school in various leadership roles including interim dean, associate dean for research, chair of the Department of Finance, and graduate adviser. Starks is also a Research Associate of the National Bureau of Economic Research, a Senior Fellow of the Asian Bureau of Finance and Economic Research, and a Fellow of several prestigious organizations including the American Finance Association, the Financial Management Association, the European Corporate Governance Institute, and the Centre for Economic Policy Research. Her research expertise spans multiple areas in finance: Asset Pricing Corporate Finance Corporate Governance Environmental, Social, and Governance (ESG) Issues Corporate Sustainability Institutional Investment Management Climate Finance Starks' recent research demonstrates a strong trend toward ESG and sustainable finance, particularly in the last 5-7 years, with numerous publications examining climate risk disclosure, ESG engagement, corporate ESG profiles, and the relationship between sustainability factors and financial performance. Her work bridges traditional finance with emerging sustainable investment practices, making significant contributions to understanding how environmental and social factors impact institutional investment decisions and corporate behavior. Her significant awards and honors include: 2024 Texas Exes Distinguished Alumnus Award 2022 Swedish Skandia Research Award on Long-Term Savings 2021 Moskowitz Prize for Outstanding Research in Sustainable Finance Fellow of the European Corporate Governance Institute (2024) Fellow of the American Finance Association (2023) Editor's Choice for publication 'Climate Risk Disclosure and Institutional Investors' (July 2023) Starks has served as president of four major academic finance associations: the American Finance Association, the Society for Financial Studies, the Western Finance Association, and the Financial Management Association. She has also been editor of The Review of Financial Studies and associate editor of numerous academic journals. Currently, she serves on advisory committees for AIF Global, FTSE Russell, the Investment Company Institute, Kroner Center for Financial Research, Netspar, Principles for Responsible Investing, and Texas Wall Street Women, demonstrating her influence across both academic and industry spheres of finance.

• Economic Sociology
• Eastern European Economies
• Corruption Studies
• +5 more

Michael Derrer serves as Professor of Economic Sociology at the Lucerne University of Applied Sciences and Arts (HSLU), where he teaches in the Institute for Business and Regional Economics. His professional profile uniquely combines academic work with practical business consulting, judicial service, and international development activities focused on Eastern Europe. Academic and Professional Background Professor of Economic Sociology at Lucerne University of Applied Sciences and Arts Owner and CEO of ASCENT Swiss Business Management AG (established 2005) Part-time District Judge in Rheinfelden (2013-2024) Certified judicial interpreter for Russian, Romanian, Polish, Ukrainian, Spanish, Italian, French, and English Founder and Director of the international "All About Economy Film Days" festival Research Focus Derrer's scholarly work critically examines economic phenomena through sociological and institutional lenses, with particular emphasis on post-Soviet states. His research spans corruption systems in Russia and Ukraine, heterodox approaches to economics education, and vocational training systems. The development of SWITEX (Swiss Index for Teaching Excellence) represents his commitment to educational innovation, while his extensive publications on Eastern European business environments demonstrate practical applications of his academic insights. His recent work (2022-2025) shows a clear trajectory toward analyzing power dynamics in post-Soviet governance structures, particularly regarding corruption mechanisms and anti-corruption strategies in Ukraine during wartime. Simultaneously, he maintains focus on educational innovation through film-based economics teaching methods. Professional Recognition Executive Committee Member of AREF (Association for Renewal of Research and Education in Economics and Finance) since 2017 President of Verein Mehr Farbe (2021-present) Certified Expert for Eastern European countries through S-GE (Switzerland Global Enterprise) since 2008 Over 500 judicial interpretation assignments completed since 2014 International Engagement Derrer has fostered significant academic-business partnerships across Eastern Europe, organizing study tours that connect economic theory with cultural understanding. His "All About Economy Film Days" festival has created cross-border platforms for discussing economic challenges through film and academic discourse in Poland, Romania, Bulgaria, and Switzerland.

• Particle Physics
• Muon Physics
• Detector Development
• +4 more

Dr. Stefan Ritt is a prominent researcher and Group Leader of the Muon Physics group at the Paul Scherrer Institute (PSI) in Switzerland. With over 30 years of experience in particle physics, he has made significant contributions to muon decay experiments and detector development. His research focuses on precision measurements of muon properties and searches for physics beyond the Standard Model. Ritt's primary research interests encompass particle physics, muon physics, detector development, and data acquisition systems. His work has been instrumental in advancing high-precision measurements of muon decay processes, particularly in the search for lepton flavor violation. He has pioneered developments in waveform digitizing technology, most notably through the Domino Ring Sampler (DRS) series of chips, which have revolutionized data acquisition in particle physics experiments. Analysis of his recent publications reveals a strong focus on the MEG and MEG II experiments, which search for the rare decay μ+→e+γ. His work spans detector design, data acquisition systems, trigger implementation, and precision analysis techniques. The publications demonstrate expertise in liquid xenon detectors, silicon photomultipliers, timing resolution, and high-speed waveform digitization. 1984 Jugend Forscht Landessieger 2011 IEEE Senior Member 2016 IEEE Fellow for the development of the Domino Ring Sampler series of chips 2020 IEEE Emilio Gatti Radiation Instrumentation Technical Achievement Award for contributions to the development and democratization of ultra high-speed digitizers Ritt has served as a thesis examiner for institutions including INFN Pisa and ETH Zurich, demonstrating his role in academic mentoring. His leadership extends to coordinating beam time for PSI's secondary particle beam lines and organizing major international workshops. He has been instrumental in developing the Mu3e experiment and advancing muon beam technology at PSI. As head of the Muon Physics group (comprising 12 members), Ritt oversees fundamental particle physics experiments at PSI's secondary beam lines. His group is responsible for the design and implementation of data acquisition hardware and software for the MEG II experiment and serves as co-spokesperson for the Mu3e experiment.

Joel ZindelView profile

Professor

• Tissue Repair
• Macrophage Biology
• Mesothelial Cell Biology
• +3 more

Prof. Dr. Joel Zindel is a faculty member at ETH Zurich's Institute of Molecular Health Sciences, leading a translational research group focused on tissue repair and scarring. He previously established his lab at the University of Bern (2023) before migrating to ETH Zürich in August 2025. His work bridges clinical surgery and immunology, targeting post-surgical complications like adhesions and fibrosis. Education: Medical Degree & MD, University of Bern PhD in Immunology, University of Bern SNSF-sponsored Research Fellowship, Canada Research Focus: The Zindel Lab investigates three key areas: (i) peritoneal macrophage biology in injury detection, (ii) mesothelial-to-mesenchymal transition in scarring, and (iii) foreign body responses in body cavities. Using intravital microscopy and clinical cohort studies, the lab explores immune-mesothelial interactions and druggable pathways. Publication Trends: Recent work emphasizes macrophage roles in regeneration, EGFR signaling in fibrosis, and technological innovations in surgical skill assessment. Key methodologies include spatial transcriptomics and multiphoton imaging. Scientific Awards: Max Cloëtta Research Fellowship SNSF Starting Grant Advising & Collaborations: Leads a team including PhD students (John Li Flores Alvarez, Agnes Huber, Brooke Slade) and postdoc Tea Kocijan. Collaborates with (bio)material engineers like Prof. Inge Herrmann and Prof. Mark Tibbitt.

Alexander MathysView profile

Associate Professor

• Sustainable Food Processing
• Alternative Protein Sources
• Food Biotechnology
• +4 more

Prof. Alexander Mathys is an Associate Professor at the Department of Health Sciences and Technology, ETH Zurich, and Deputy Head of the Institute of Food, Nutrition, and Health. His research focuses on sustainable food processing, with a systems-oriented approach to optimize food value chains and address environmental, economic, and social impacts. Key areas include microalgae and insect-based protein sources, bioconversion of food waste, and novel preservation technologies. Education: PhD in Food Processing (2008), Tenured Professor (2022). Affiliations: Singapore-ETH Centre, Bezos Centre for Sustainable Protein (NUS). Research Interests: Sustainable food systems, bioeconomy principles, multi-indicator sustainability assessments. Innovations include urban farming concepts, microalgae cultivation for nutrition, and mechanical/biotechnological food processing techniques. Awards: IAFoST Fellow (2024), ETH Zurich Dandelion Award (2022), IFT International Food Security Award (2020), Young Researcher (Nobel Laureates Meeting, 2010). Grants & Advising: Over 200 publications (140 peer-reviewed articles), 13 patents, and extensive international collaborations. Leads the Sustainable Food Processing group at ETH Zurich. Labs/Teams: Directs interdisciplinary research teams exploring novel protein sources, food waste valorization, and scalable bioprocessing technologies.

• Power Electronics
• Semiconductor Device Modeling
• Electromagnetic Modeling
• +2 more

Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.