جست‌وجوی استاد و پژوهشگر

Reto Bürginمشاهده پروفایل

پژوهشگر

• Data Analysis
• Statistics
• Agricultural Education
• +۴ مورد دیگر

Dr. Reto Bürgin is a Researcher at the ZHAW School of Engineering , specializing in Data Analysis and Statistics . His work spans interdisciplinary applications in agriculture, transportation, healthcare, and risk modeling. Research Focus: Statistical methods, data-driven decision-making, and domain-specific modeling. Projects: Team member in initiatives like DSembedded (data stewardship) and Detailed Meal Forecast (restaurant industry). Research Interests include: Statistical modeling for soil fertility adoption practices in Africa. Space-time demand forecasting in free-floating carsharing systems. Risk adjustment methodologies in Swiss healthcare economics. Development of visualization techniques for longitudinal categorical data. Key Articles reflect trends in computational statistics, agricultural education, and healthcare analytics, with a focus on practical implementations. Collaborations: Partnered with experts across Europe on critical care studies, orthopedic surgical training, and healthcare policy analysis.

Susan Atheyمشاهده پروفایل

استاد

• Economics of Digitization
• Machine Learning and Causal Inference
• Marketplace Design
• +۳ مورد دیگر

Susan Athey is the Economics of Technology Professor at Stanford Graduate School of Business and a Professor of Economics (by courtesy) at Stanford's School of Humanities and Sciences. She is also a Senior Fellow at the Stanford Institute for Economic Policy Research and Stanford Institute for Human-Centered Artificial Intelligence. Her primary affiliation is with the Graduate School of Business, where she leads the Golub Capital Social Impact Lab. She previously served as Chief Economist at the U.S. Department of Justice Antitrust Division (2022–2024) and has held roles at MIT, Harvard, and Microsoft. Her research focuses on the economics of digitization, machine learning applications in causal inference, and marketplace design. Key areas include platform markets, online advertising, vaccine policy, and social impact technology. She earned her PhD from Stanford University and a BA from Duke University. Athey's work bridges economics and technology, with contributions to policy design, antitrust analysis, and digital health interventions. Her recent projects include evaluating the impact of social media campaigns on vaccine adoption and designing auction mechanisms for pandemic vaccine distribution. Education: PhD, Stanford (1995); BA, Duke (1991) Affiliations: Stanford GSB, Stanford Institute for Economic Policy Research, National Academy of Sciences Her research has addressed critical issues such as consumer privacy (The Digital Privacy Paradox), AI governance, and experimental methods for policy evaluation. She is a recipient of the John Bates Clark Medal (2007) and R. K. Cho Award (2024). Current initiatives include the Golub Capital Social Impact Lab, which develops technology-driven solutions for social sector challenges. She also advises governments and tech firms on market design and innovation policy.

Sandra Cortesiمشاهده پروفایل

استادیار

• Digital Media and Youth
• Information Quality & News Ecosystems
• Youth Well-being & Safety
• +۵ مورد دیگر

Sandra Cortesi is a Rudolf Mössbauer Assistant Professor at the Technical University of Munich (TUM), holding dual affiliations in the School of Medicine and Health and the School of Social Sciences and Technology. She is also a Senior Research and Teaching Associate at the University of Zurich’s Department of Communications and Media Research (IKMZ), and a long-term Fellow at Harvard University’s Berkman Klein Center for Internet & Society. Her work focuses on youth’s digital lives, exploring intersections between technology, policy, and societal impacts. Dr. Cortesi holds a PhD in Psychology (University of Basel, 2021) with a focus on youth participation in digital spaces. She co-founded the Digitally Connected initiative with UNICEF and leads global projects addressing AI ethics, digital skills, and youth empowerment. Her research integrates participatory methods and policy translation, aiming to bridge academic insights with real-world applications. Key areas of expertise include: AI governance, youth well-being in digital environments, digital citizenship education, and cross-sectoral collaboration. She advises governments, international organizations (e.g., UNICEF, OECD), and tech companies on digital policy frameworks. Her work spans multiple regions, with recent projects in Latin America, Europe, and Asia. Publications span peer-reviewed journals, policy reports, and edited volumes. Recent topics include youth skills in digital economies, AI literacy, and participatory research methodologies. Her work has been supported by grants from the U.S. National Science Foundation, Swiss Federal Department of Foreign Affairs, and others. Cortesi serves on boards for organizations like the World Economic Forum’s Metaverse Governance groups, the Nordic Centre for Internet and Society, and the 20 Minuten Youth Lab. She actively collaborates with global networks like the Electronic Transactions Development Agency (Thailand) and the Council of Europe’s AI Literacy initiative.

Sophie Bettexمشاهده پروفایل

مدرس

• Criminology
• Surveillance Studies
• Algorithmic Policing
• +۲ مورد دیگر

Sophie Bettex is a Lecturer and doctoral researcher in the Technology and Governance group at ETH Zurich's Department of Humanities, Social and Political Science. She investigates data quality in law enforcement through the ERC-funded CURATE project, employing ethnographic methods to study algorithmic policing in Europe. Holds an International BSc in Psychology from Leiden University and dual MSc in Criminology from Ghent University and Erasmus University Rotterdam. Research examines the sociotechnical dimensions of policing technologies, with fieldwork spanning law enforcement agencies, tech firms, and border control operations. Publications analyze crime data production mechanisms, human trafficking in Aruba, and e-waste governance. Collaborates with human rights organizations and law enforcement agencies.

Olivier Del Fabbroمشاهده پروفایل

مدرس

• Philosophy of Science and Technology
• US-American Pragmatism
• Philosophy of Complex Systems
• +۳ مورد دیگر

Dr. Olivier Del Fabbro is a Lecturer at the Department of Humanities, Social and Political Sciences at ETH Zürich. His research focuses on French philosophy of science and technology, US-American pragmatism, and the philosophy of complex systems, AI, and cybernetics. He explores topics such as war philosophy, ethical dimensions of technology, and educational approaches in machine learning. In addition to academic writing, he contributes to public discourse through newspapers like Neue Zürcher Zeitung and Frankfurter Allgemeine Zeitung. His recent work includes articles analyzing perpetual warfare dynamics, trauma narratives, and the ethical implications of AI education. He collaborates on interdisciplinary projects, such as philosophy-guided mathematical models for complex systems and the philosophical underpinnings of surgical robotics. Del Fabbro’s publications span journals, conference papers, and monographs, addressing themes like Gilbert Simondon’s process ontology, adaptive systems, and the societal impact of technology. His work bridges philosophy with practical applications in science, medicine, and defense strategy.

• Media Policy
• Media Regulation and Governance
• Media Economics
• +۴ مورد دیگر

Manuel Puppis is a Full Professor of Media Structures and Governance in the Department of Communication and Media Research at the University of Fribourg. He holds a PhD and M.A. in Communication Science from the University of Zurich. His research focuses on media policy, regulation, governance, and digitization, with a particular emphasis on Swiss and comparative media systems. He serves as Vice-Chair of the Swiss Federal Media Commission (FMEC) and has held visiting scholar positions at institutions like New York University and the University of Amsterdam. Education: PhD and M.A. in Communication Science, Political Science, and Economic/Social History from the University of Zurich. Research interests include media policy frameworks, digital transformation of public spheres, media economics, and critical political economy. He has published extensively on topics like public service media, algorithmic gatekeeping, and media diversity. Notable projects include studies on deepfakes, public service media sustainability, and media policy in Western Balkan countries. His work bridges theoretical analysis with practical policy recommendations, emphasizing the role of media in democratic societies. Grants and projects include SNSF-funded studies on algorithmic gatekeepers and epistemic welfare, as well as international collaborations on media governance and digital policy. He advises on media regulatory frameworks and has contributed to policy debates in Switzerland and Europe. Labs/Teams: Active in research networks like the SNSF-funded ALGEPI project (algorithmic gatekeepers and epistemic welfare) and interdisciplinary collaborations on media policy and digital transformation.

Fernando Obietaمشاهده پروفایل

مدرس

• Media Theory
• Digital Media Critique
• Artistic Research
• +۴ مورد دیگر

Fernando Obieta is a Lecturer at the Lucerne School of Design, Film and Art (HSLU) and a Senior Research Associate. He holds a PhD in media theory from the University of Arts Linz, funded by the Swiss National Science Foundation's Doc.CH program. His research critiques digital media systems, focusing on feminist ethics in machine design and the contingency of design practices. He is also a conceptual media artist, exploring themes like surveillance, data abstraction, and human-technology interaction through interactive installations and performances. Education: PhD in Media Theory, University of Arts Linz (ongoing) Master's in Interaction Design and Transdisciplinarity in the Arts, Zurich University of the Arts Computer Science Studies, Focus on Media Technologies Research Interests: Obieta interrogates how machines perceive humans and vice versa, emphasizing feminist critiques of technology. His work spans installations like blinded by the light (surveillance ethics), for your eyes only (data invisibility), and machines congregating (machine perception). He employs methods such as system error exposure, parameter reconfiguration, and medial translation to challenge technological norms. Projects & Collaborations: Co-founder of VoteLog (Swiss democracy contextualization platform) Initiator of so-da.space (Zurich cultural collaboration space) Member of intersections (digital diversity advocacy) Collaborations with Gregor Vogel on sound installations ( HERE/HEAR/WAVE ) Exhibitions & Grants: Featured in events like Ars Electronica Festival and the Jungkunst exhibition series. His work explores transient data, algorithmic bias, and the materiality of digital systems.

• Digital Art
• Interactive Media
• Generative Art
• +۳ مورد دیگر

Christoph van den Berg is an Artistic Professor at the Lucerne School of Design, Film and Art (HSLU DFK), collaborating 50% with Monica Studer under the collective 'Studer / van den Berg.' His work focuses on digital art, interactive media, and generative systems, with particular emphasis on augmented reality (AR), virtual reality (VR), and installations exploring human-machine interfaces. He has exhibited globally, including at the FMR Festival (Linz), HEK Basel, and Städtische Galerie Nordhorn. Key projects include the Wolfskind Project (a mockumentary on AI history), HALLUC (a VR exploration of machine hallucinations), and be one of us (an AR urban intervention with Roche). He contributed to the 2021 Pax Art Awards-winning Swiss Media Art exhibition. His research critically examines digital consciousness, alternative energy systems, and the intersection of technology with nature. Notable awards include the Pax Art Awards (2021) and recognition in international media art festivals. Collaborations with Studer emphasize fictitious narratives and interactive public installations, addressing ethical questions in AI and social media. His works blend technical innovation with philosophical inquiry, often using humor to critique digital culture. Recent exhibitions include the Entangled Protocol in Tokyo (2025) and UPGRADES conference on AI and social media strategies (2025). His installations frequently explore themes of collective identity, environmental symbology, and the paradoxes of machine consciousness.

Andrea Bellèمشاهده پروفایل

پژوهشگر

• Energy Systems Engineering
• Resilience of Critical Infrastructures
• Optimization under Uncertainty
• +۳ مورد دیگر

Dr. Andrea Bellè is a Researcher at the Research Center for Energy Networks (FEN-ETH) at ETH Zürich since January 2024. His work focuses on optimizing resilience of critical infrastructures and energy systems through advanced modeling and optimization techniques. He holds a Ph.D. in Complex Systems Engineering from University of Paris-Saclay (2022), an M.S. in Nuclear Engineering from KTH Royal Institute of Technology and University of Paris-Saclay (2019), and a B.S. in Energy Engineering from University of Padua (2017). His current research emphasizes the RESAIL project collaboration with Swiss Federal Railways (SBB), developing strategies for energy transition and reliable demand fulfillment. Prior to ETH, he was a research engineer at Thales Group working on defense and space projects. Research interests include: resilience modeling of interdependent systems, optimization under uncertainty, and energy system design. His publications span applications in power networks, satellite constellations, and molten salt reactors. Key technical areas are multi-objective optimization, distributionally robust approaches, and vulnerability analysis. Advising: Currently focuses on postdoctoral research with no listed advisees. Grant activity includes FEN-funded initiatives. Lab affiliations: Primarily works within FEN-ETH's Research Center for Energy Networks and collaborates with industry partners like SBB on applied energy transition projects.

Thomas Hudsonمشاهده پروفایل

مدرس

• Seismology
• Glacier Dynamics
• Geothermal Systems
• +۴ مورد دیگر

Thomas Hudson is a Lecturer at ETH Zurich's Department of Earth and Planetary Sciences, specializing in seismology with a focus on novel technologies for Earth system studies. He holds a PhD in Earth Sciences from the University of Cambridge and has held academic positions at the University of Oxford and ETH Zurich. His research integrates cutting-edge seismic instrumentation, such as distributed acoustic sensing (DAS) and seismic nodes, to investigate critical processes like glacier dynamics, geothermal fluid migration, and critical mineral exploration. Recent projects include studying Antarctic ice stream mechanics and geothermal systems using fiber optic sensing. Education : PhD in Earth Sciences (2015–2019), University of Cambridge/British Antarctic Survey MPhys in Physics (2012–2015), University of Durham BEng in Mechanical Engineering (2010–2012), University of Bath Research Interests : Hudson’s work spans: Glacier processes (crevassing, basal slip) Geothermal fluid dynamics and critical mineral exploration Development of DAS and seismic node technologies Volcanic and tectonic seismicity analysis His research emphasizes translating technical advancements into societal benefits like renewable energy and climate resilience. Advising & Grants : Hudson leads projects funded by institutions such as ETH Zurich and international collaborations. He actively mentors early-career researchers through fellowships and academic roles at Oxford and ETH Zurich. Labs/Teams : Affiliated with ETH Zurich’s Institute of Geophysics and collaborates globally on initiatives like Antarctic cryosphere monitoring and geothermal exploration.

• Machine Learning
• Biomedical Informatics
• Medical Genomics
• +۳ مورد دیگر

Prof. Gunnar Rätsch is a Full Professor in the Department of Computer Science at ETH Zürich and Deputy Head of the Institute for Machine Learning. His research focuses on developing machine learning methods for biomedical applications, including genomics, medical imaging, and clinical decision support systems. He specializes in integrating multi-omics data, spatial transcriptomics, and time-series analysis to address challenges in precision medicine and critical care. His work emphasizes ethical AI frameworks, algorithmic fairness, and robust clinical prediction models. Key research areas include: Deep learning for medical imaging and histopathology Single-cell analysis and tumor profiling Reinforcement learning for treatment optimization in ICUs Multimodal data integration for clinical applications Recent work highlights advancements in: Standardizing single-cell cytometry readouts for clinical use Developing foundation models for critical care time-series analysis Creating interpretable survival models for ICU patients His contributions span foundational machine learning theory and applied healthcare technologies, with a focus on translational research to improve clinical outcomes. Current projects include the Tumor Profiler Study for multi-omic tumor analysis and ethical frameworks for clinical AI systems.

• Computational Linguistics
• Natural Language Processing (NLP)
• Language Model Interpretability
• +۴ مورد دیگر

Dr. Dan Jurafsky is a Professor at the Department of Linguistics within Stanford University's School of Humanities and Sciences. His work spans computational linguistics, natural language processing, and AI ethics, with a particular focus on language model behavior, speech recognition, and ethical implications of anthropomorphism in AI systems. His recent research explores HumT for measuring human-like tone in LLMs, AnthroScore for anthropomorphism detection, and methods for improving low-resource language support through data augmentation and multilingual representation learning. He has also developed open-source tools like string2string for string algorithms. Jurafsky's publications address critical issues in NLP, including grounding gaps in conversational models, causal interpretability in linguistic tasks, and representational biases in multilingual models. His work emphasizes interdisciplinary applications, from educational NLP tools to Sumerian transliteration datasets, while advocating for rigorous statistical power analysis and ethical model evaluation.

Adam Hugh Clarkمشاهده پروفایل

پژوهشگر

• Heterogeneous Catalysis
• X-ray Absorption Spectroscopy
• Electrochemistry
• +۹ مورد دیگر

Dr. Adam Hugh Clark is a tenure track scientist at the Paul Scherrer Institute (PSI) in Switzerland, specializing in advanced spectroscopic techniques and heterogeneous catalysis. He holds a Bachelor's degree in Physics from the University of Nottingham , and a Master's and PhD in Molecular Modelling and Materials Science from University College London . At PSI, he focuses on uncovering structure-activity relationships in catalytic materials using time-resolved X-ray absorption spectroscopy (XAS). Education B.Sc. in Physics, University of Nottingham M.Sc. and PhD in Molecular Modelling and Materials Science, University College London Research Interests Clark’s research centers on heterogeneous catalysis , particularly ceria-based materials for semi-hydrogenation and perovskite oxides for oxygen evolution reactions (OER). He develops and applies highly time-resolved XAS and modulation-excitation spectroscopy to study dynamic material properties during reactions. His work bridges materials science and operando XAS , with applications in electrochemistry and sustainable chemical processes. Recent projects include platinum single-atom catalysts for vinyl chloride production and LaFe0.8Ni0.8O3 perovskites for redox studies. Publications & Software Development His 2025 publications span quantum simulation , MOF synthesis , and high-energy particle physics collaborations. Earlier works (2019–2020) introduced ProQEXAFS , a Python-based software for rapid QEXAFS data processing. He also advanced fluorescence-detected XAS for low-concentration samples and contributed to understanding Fe-doped Co perovskites in OER. Institutional Roles Clark manages the SuperXAS beamline at the Swiss Light Source and leads software development for quick-scanning XAS analysis . Since 2025, he has served on the ChemCatChem early career advisory board , promoting interdisciplinary catalysis research. Labs & Collaborations He works within the Operando Spectroscopy group at PSI, collaborating with institutions like CERN and ETH Zürich on projects involving density functional theory (DFT) , synchrotron techniques , and advanced detector systems (e.g., CMS). His affiliations include the Particle Physics LTP and Advanced Spectroscopy and X-ray Sources LSX laboratories at PSI.

• Chronic Wound Care
• Venous Leg Ulcers
• Patient Education
• +۷ مورد دیگر

Sebastian Probst is a Professor at the Haute école de santé - Genève within the Santé school and Soins infirmiers department. He specializes in chronic wound care, venous leg ulcers, and patient education, with a focus on multidisciplinary interventions, empathy in healthcare, and palliative care approaches. His research integrates clinical practice with technological innovation, such as mobile applications for wound monitoring and machine learning for medical imaging. Probst leads multiple international projects funded by organizations like InnoSuisse and EBNET-STIFTUNG. His work addresses wound healing mechanisms, pain management, and prevention strategies for high-risk populations. He collaborates with universities (e.g., Université de Genève), hospitals (e.g., CHUV), and industry partners (e.g., IMITO AG) to bridge research and clinical practice. Key contributions include developing evidence-based educational interventions for venous leg ulcer patients and advancing AI-driven tools for wound assessment. He co-authored over 20 peer-reviewed articles and book chapters on wound care, empathy in healthcare, and pressure injury prevention. His research emphasizes interprofessional collaboration and person-centered care to improve patient outcomes and reduce healthcare burdens.

Sacha Altayمشاهده پروفایل

پژوهشگر

• Misinformation
• Media Literacy
• AI-Generated Content
• +۴ مورد دیگر

Sacha Altay is a researcher at the University of Zurich, focusing on misinformation, media trust, and the societal impact of digital technologies. Their work bridges communication studies, social psychology, and computer science, examining how individuals perceive and interact with AI-generated content, false news, and health-related information. Their recent research explores mechanisms to enhance media literacy, the psychological drivers of conspiracy theories, and the role of trust in shaping public attitudes toward science and technology. Publications highlight the interplay between emotional responses, cognitive biases, and the reliability of information sources in contemporary digital environments. Scientific awards and affiliations with labs or teams are not explicitly mentioned in the provided data. Further details about their educational background and advisory roles remain unspecified.