Eric Wong is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, affiliated with the ASSET Center and leading the Brachio Lab. His research focuses on robust and reliable machine learning, including model debugging, adversarial robustness, and explainable AI. He holds a PhD from Carnegie Mellon University (CMU), advised by J. Zico Kolter, and completed a postdoc with Aleksander Madry. His work bridges theory and practice, addressing challenges in model interpretability, safety, and scalability. Teaching includes CIS 5200 (Machine Learning), CIS 3333 (Mathematics for Machine Learning), and a specialized course on debugging ML pipelines. Notable contributions include the FIX Benchmark for interpretable features and defenses against LLM jailbreaking attacks. He received an Amazon Research Award in 2024 and has published extensively in top conferences like ICML, NeurIPS, and ICLR. Affiliations: University of Pennsylvania (CIS), ASSET Center, Brachio Lab Education: PhD in Machine Learning (CMU), Postdoc at MIT Key Projects: FIX Benchmark, DOLPHIN framework, SmoothLLM defense Awards: Amazon Research Award (2024) Lab Focus: Safe AI, model debugging, neurosymbolic learning
Prof. Dr. Günther Dissertori is a Full Professor and Rector of ETH Zurich, where he oversees teaching and academic affairs. His academic journey began at the University of Innsbruck, followed by a doctoral position at CERN, and he joined ETH Zurich as an Assistant Professor in 2001 before becoming a Full Professor in 2007. Academic Role: Full Professor of Particle Physics Institutional Leadership: Rector of ETH Zurich (since 2022) Contact: guenther.dissertori@sl.ethz.ch Research Interests: Dissertori's work spans Particle Physics and Experimental Physics , notably contributing to the CMS experiment at CERN, which was instrumental in the Higgs boson discovery. His group also developed cost-effective PET devices, leading to the spin-off Positrigo AG . Research keywords include Detector Development , Medical Imaging , and Quantum Physics . Teaching Excellence: Recognized with multiple Golden Owl awards (2005–2020) and the Credit Suisse Award for Best Teaching (2013), Dissertori is celebrated for his pedagogical impact in the Department of Particle Physics. Scientific Contributions: His publications include advancements in CMOS technology, quantum dynamics, and medical applications, reflecting interdisciplinary expertise in high-speed electronics, environmental science, and architectural history.
Frank Li is an Assistant Professor at Georgia Tech, affiliated with the School of Cybersecurity and Privacy and School of Electrical & Computer Engineering . His research focuses on computer security and privacy , particularly internet, network, and web security, with a data-driven approach. Education : PhD in Computer Science from UC Berkeley, BS in Computer Science from MIT (Course 6-3) Experience : Previously a visiting researcher at Facebook, with internships at Google and Microsoft Research Research interests include empirical computer security , internet measurement, password policies, IoT security, browser extensions, and DeFi vulnerabilities. His work combines large-scale data analysis, network traffic studies, and user behavior experiments. His publications highlight trends in IPv6 adoption , security notifications, password masking, third-party web content, and PLC security evaluation. Teaching awards include the Student Recognition of Excellence in Teaching (Annual CIOS Award and Semester Honor Roll) at Georgia Tech. He leads the BEES Lab (Better Empirically Established Security), which investigates security and privacy issues through internet-wide measurements, network traffic analysis, and data mining. Lab members include PhD and MS students in computer science.
Janet Chen is Professor of History and East Asian Studies at Princeton University, serving as Director of the East Asian Studies Program. Based in 302 Dickinson Hall, she maintains regular office hours on Thursdays from 9:30 am to 11:30 am and is contactable via jychen@princeton.edu. Her academic credentials include: Ph.D. in History, Yale University M. Phil in History, Yale University M.A. in History, Yale University B.A. in History and Asian Studies with highest honors, Williams College Chen specializes in twentieth-century Chinese social and urban history, examining marginalized populations during periods of war and revolution. Her research explores intersections of poverty, state formation, and cultural identity, with current work focused on Mandarin language standardization in China and Taiwan. This scholarship bridges historical analysis with sociological frameworks to understand how ordinary people navigate systemic upheaval. Her publication 'Guilty of Indigence: The Urban Poor in China, 1900-1953' (2012) exemplifies her methodological approach, revealing how destitution became criminalized amid political transformation. Collectively, her work demonstrates consistent focus on urban marginality, state-society relations, and historical memory in modern East Asia, establishing her as a significant voice in social history methodologies.
Peter Henderson is an Assistant Professor at Princeton University with joint appointments in the Department of Computer Science and the School of Public and International Affairs. He is affiliated with the Center for Information Technology Policy (CITP), Princeton Language and Intelligence Initiative (PLI), Center for Statistics and Machine Learning (CSML), and Program in Law & Public Policy (PLAW). J.D./Ph.D., Stanford University, 2023 M.Sc., McGill University and Montréal Institute for Learning Algorithms Henderson's research focuses on the critical intersection of artificial intelligence and law, with particular emphasis on AI safety, methods to improve reasoning in foundation models, interdisciplinary approaches to law and AI, and AI governance. His work spans language-grounded reinforcement learning, alignment techniques, strategic decision-making in legal contexts, and public interest artificial intelligence. He investigates how legal frameworks can guide the development of AI systems that benefit society while addressing potential harms. Henderson's recent publications reveal a strong trajectory toward addressing the safety, governance, and legal implications of foundation models. His work combines rigorous technical AI research with deep legal analysis, particularly examining how intellectual property law interacts with AI development, regulatory pathways that balance innovation with harm prevention, and the role of law in shaping responsible AI deployment. A significant thread throughout his research is the development of better evaluation methodologies for AI systems, especially in critical domains like law. SEAS Excellence in Teaching Award (2025) Henderson leads the Princeton Law+Language, AI, & Society (POLARIS) Lab, where he advises students and researchers working at the intersection of AI and legal studies. His research has been supported through collaborations with government agencies, including work with the IRS on audit selection algorithms. His findings have informed practical applications in government efficiency and equity, as well as legal system improvements. Henderson runs the POLARIS Lab at Princeton, which focuses on developing AI systems that work for the public interest, particularly in legal contexts. His team develops sequential decision-making systems for government efficiency, foundation models capable of reasoning about law, and improved safety evaluation frameworks for AI systems. The lab maintains strong connections with legal practitioners and policymakers to ensure research has real-world impact.
London School of Economics and Political Science (LSE)United Kingdom
Eric Schneider is a Professor of Economic History at the London School of Economics and Political Science (LSE), where he has worked since 2015. He serves as Co-Director of the LSE Historical Economic Demography (HED) Group and is a Research Fellow at the Centre for Economic Policy Research (CEPR). His research focuses on health and historical economic demography, including children’s health and growth, early life health outcomes, and fertility differentials in early modern England. He holds a BA in History from the University of Puget Sound, an MPhil in Economic and Social History from the University of Oxford, and a PhD from Nuffield College (Oxford). His research spans topics such as child stunting, nutritional status, and the long-run effects of historical health shocks. Notable projects include analyzing child growth patterns across global contexts and studying the impact of the Second World War on Japanese children’s health. His work frequently employs interdisciplinary approaches, combining historical data with demographic and economic methodologies. Recent publications include studies on smallpox case fatality rates, child health in London’s Foundling Hospital, and the effects of war-induced nutritional stress in Japan. His articles frequently appear in journals like the Journal of Economic Surveys , Population and Development Review , and Explorations in Economic History . Dr. Schneider is involved in academic networks such as the London Universities Population Seminar and teaches courses on economic history, health history, and population dynamics. His work contributes to understanding how historical health and demographic trends shape long-term economic growth and societal development.
Prof. Magnus Fröhling is a Full Professor of Circular Economy and Sustainability Assessment at the Technical University of Munich (TUM), leading the Chair of Circular Economy and Sustainability Assessment at TUM Campus Straubing. He holds a doctorate and habilitation from the Karlsruhe Institute of Technology (KIT), specializing in material flow analysis and resource efficiency. His career includes roles as a professor at TU Bergakademie Freiberg before joining TUM in 2018. Fröhling’s research focuses on quantitative approaches for circular economy systems, including industrial value chains, built environments, and bioeconomy. He co-leads the TUM Mission Network Circular Economy, an interdisciplinary platform for research and innovation. **Education:** Bachelor/Master in Industrial Engineering, Karlsruhe University (TH) PhD in Industrial Engineering (2005), Karlsruhe University Habilitation in Business Administration (2011), KIT **Research Interests:** Circular economy concepts for automotive industry, buildings, and energy systems; sustainability assessment in bioeconomy; policy instruments for resource efficiency. His work emphasizes lifecycle analysis and closed-loop systems. **Awards:** TUM Sustainability Award (2021) and recognition for groundbreaking research on sustainability in industrial biotechnology (2020). **Advising & Grants:** Leads research initiatives like CirculaTUM, focusing on interdisciplinary collaboration. His work integrates policy analysis, technological innovation, and industrial ecology to advance sustainability goals. **Labs/Teams:** Active in TUM’s Green Fuel Center and SynBioFoundry@TUM, promoting sustainable energy and biotechnology solutions.
Professor Elaine Fahey is a leading scholar in EU law and global governance at the City Law School, City St George's, University of London, where she serves as Professor of EU Law and Deputy Head of Department (academic programmes). She is co-convener of the Institute for the Study of European Law (ISEL) and the UACES James Madison Trust EUFUtures initiative (2022–2025). Her academic career includes visiting professorships at Washington College of Law (American University), Keio University, and NYU, as well as fellowships at the European University Institute and the University of Graz. LLB, Trinity College Dublin LLM, Sidney Sussex College, University of Cambridge PhD, Trinity College Dublin Barrister-at-Law, Honorable Society of King’s Inns, Ireland Attorney-at-Law, State of New York Senior Fellowship, Higher Education Authority UK Her research focuses on the intersection of EU law with global governance, digital regulation, transatlantic relations, and the Area of Freedom, Security and Justice. She explores how the EU navigates legal frameworks beyond the nation-state, particularly in digital trade, cybersecurity, and data protection. Her work critically examines the EU’s role as a global regulatory actor and its interactions with international institutions. Her extensive publication record includes the monograph The EU as a Global Digital Actor (Hart, 2022) and numerous articles on digital sovereignty, data transfers, and transatlantic cooperation. Recent research analyzes the EU–US Trade and Technology Council (TTC), the evolution of the Privacy Shield, and strategic litigation in digital rights. Her work reveals a strong trend toward understanding how soft law, institutional design, and judicial decisions shape EU external relations and digital governance. Erasmus+ Jean Monnet Chair in Law & Transatlantic Relations (2019–2022) Emile Noël Fellow, NYU Law School Max Weber Fellow, European University Institute Senior Land Steiermark Fellow, University of Graz Senior Fellowship, Higher Education Authority UK Professor Fahey has supervised multiple PhD students, including Isabella Mancini, Giulio Kowalski, and Christos Karetsos, on topics such as algorithmic collusion, digital markets, and investment law. She has led significant research projects, including the ESRC-funded TRILATTRADE grant and the Marie Curie ITN on EU and Transatlantic Investment and Trade (EUTIP). She previously held leadership roles as Associate Dean (International) and interim Associate Dean (Research) at the City Law School. She is an elected member of the EU Studies Association (EUSA) Executive (2021–2025). She has also contributed to public policy through briefings for the Welsh Parliament and reports on CJEU litigation in Ireland. She is associated with research initiatives such as the Institute for the Study of European Law (ISEL) and has collaborated on interdisciplinary projects on Facebook regulation, transatlantic relations, and EU technological sovereignty. Her work bridges legal scholarship, policy, and international academic collaboration.
Deian Stefan is an Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). His research focuses on building secure systems through interdisciplinary approaches spanning security , programming languages , and systems . Key areas include WebAssembly security , JavaScript JITs , constant-time programming , memory safety , information flow control , and program analysis tools. He co-founded Intrinsic , a web-security startup later acquired by VMWare, and contributed to standards like W3C WebAppSec and Node.js Security Working Groups. Education: PhD in Computer Science from Stanford University (2015), advised by David Mazières, John C. Mitchell, and Alejandro Russo BE and ME in Electrical Engineering from Cooper Union (2011) Research Trends: His work targets secure systems (Web frameworks, sandboxing, runtime systems), language-based security (constant-time programming, memory safety), and verification for security . Recent publications focus on mitigating speculative execution attacks, hardware-assisted sandboxing, and WebAssembly security. Awards & Recognition: Distinguished Paper Award at POPL 2021 and IEEE MICRO Top Picks 2024 Best Paper Award at CollaborateCom 2010 2010.01 Prize by Daniel J. Bernstein (DJB) Most Influential Paper Award at ICFP 2022 Teaching: He has taught graduate and undergraduate courses including Graduate Computer Security (CSE 227) , Building Secure Systems with Rust , and Programming Languages: Principles and Paradigms at UCSD since 2018. Prior teaching experience includes Stanford and Cooper Union.
Stefanos Zenios is Professor at Stanford Graduate School of Business with dual appointments in Entrepreneurship and Operations, Information & Technology . He directs Stanford GSB’s Center for Entrepreneurial Studies and co-directs the Doerr School of Sustainability ’s Program in Ecopreneurship. His Startup Garage course has launched companies like DoorDash while alumni have raised over $3B in venture capital. He co-authored the foundational Biodesign textbook and previously served as Editor-in-Chief of Operations Research . PhD, MIT Operations Research (1996) MA, University of Cambridge (1996) BA, University of Cambridge (1992) Research Focus Dr. Zenios’ work bridges operations research and innovation management , with significant contributions to: Healthcare operations : Administrative cost reduction, organ allocation optimization, and clinical workflow improvements Entrepreneurship : Venture creation frameworks and experiential education Ecopreneurship : Sustainable business model innovation His Precedents Thinking framework (HBR 2025) has gained global recognition for solving systemic inefficiencies. Current research includes the biennial Search Fund Study with Peter Kelly. Scientific Recognition INFORMS Fellow Multiple Best Paper Awards, INFORMS CAREER Award, National Science Foundation (2000) Dhirubhai Ambani Faculty Fellow (2017–2020) George E. Nicholson Award (1997) He has received extensive media coverage in Fast Company , Time Magazine , and Stanford Business . His research has been featured in over 150 press mentions including JAMA , Harvard Business Review , and Health Affairs .
Nils Fleischhacker is an Assistant Professor for Cryptography at Ruhr University Bochum, where he leads the Theoretical Cryptography group within the Faculty of Computer Science. His research focuses on foundational aspects of cryptography with particular emphasis on zero-knowledge proofs, digital signatures, and secure computation. Prior to joining Ruhr University, he held postdoctoral positions at Johns Hopkins University and Carnegie Mellon University. Dr. Fleischhacker received his PhD in Computer Science from Saarland University in February 2017, advised by Dominique Schröder. During his doctoral studies, he was a research intern at Microsoft Research with Chris Brzuska and a research visitor at the University of Maryland, College Park with Jonathan Katz and Dana Dachman-Soled. His research spans theoretical cryptography with significant contributions to zero-knowledge proofs, multi-signature schemes, property-preserving hash functions, and security proofs for cryptographic primitives. Fleischhacker's work often addresses fundamental questions about the limits and possibilities of cryptographic constructions, with particular attention to black-box separations and lower bounds. His recent publications demonstrate a strong focus on lattice-based cryptography and post-quantum secure protocols. Fleischhacker's publications over the past five years reveal a consistent research trajectory focused on improving the efficiency and security of cryptographic primitives, with particular emphasis on signature schemes, zero-knowledge protocols, and secure computation frameworks. His work frequently appears in top-tier cryptography venues including CRYPTO, EUROCRYPT, and CCS. Dr. Fleischhacker actively mentors PhD students, with numerous successful graduations spanning from 2010 to 2024. His former PhD students include Önder Askin (2024), Floyd Zweydinger (2023), and Lars Schlieper (2022), among others. His research is supported through various academic channels and collaborations. He is affiliated with several prominent research organizations including the Horst Görtz Institute (HGI) for Information Security, the DFG Excellence Cluster CASA, the EU Marie Curie Network QSI, and the International Association for Cryptologic Research (IACR). These affiliations provide a strong institutional framework for his theoretical cryptography research.
Swiss Federal Institute of Technology in LausanneSwitzerland
Giovanni De Micheli is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), holding appointments in both the School of Computer and Communication Sciences (IC) and the School of Engineering (STI). He is affiliated with the Integrated Systems Laboratory (LSI) and serves as Scientific Director of EcoCloud. His primary office is located in INF 341 building at EPFL's Lausanne campus where he conducts research and teaching activities. Professor De Micheli's research spans multiple domains in electronic design automation and integrated circuit design. His primary interests include: Integrated Circuit Design and Hardware Synthesis Logic Optimization and Boolean Methods Nanoelectronics and 2D Electronics Quantum Computing and Emerging Technologies Low-Power Electronics and Energy-Efficient Systems Electronic Design Automation for Novel Computing Paradigms His recent publications demonstrate a strong focus on advancing logic synthesis techniques for both conventional and emerging technologies. Professor De Micheli's work bridges theoretical foundations with practical applications, particularly in adapting traditional EDA methods to novel computing paradigms like quantum computing and superconducting electronics. His research group has made significant contributions to the development of efficient algorithms for circuit optimization across multiple technology domains, with particular emphasis on area, power, and delay optimization while maintaining functional correctness. Professor De Micheli has supervised numerous doctoral students throughout his career at EPFL, mentoring over 40 PhD candidates whose research spans various aspects of electronic design automation, circuit design, and emerging technologies. His students have gone on to make significant contributions in both academia and industry. As Scientific Director of EcoCloud, Professor De Micheli leads research initiatives focused on energy-efficient computing systems and sustainable cloud infrastructure. His laboratory, the Integrated Systems Laboratory, serves as a hub for interdisciplinary research connecting computer science, electrical engineering, and materials science, with particular focus on next-generation computing technologies.
Fabian Fagerholm is an Assistant Professor in the Department of Computer Science at Aalto University. His work bridges software engineering, human-computer interaction, and empirical research methodologies. He actively participates in research groups such as Software and Service Engineering (SSE) and Human-Computer Interaction and Design (HCID). Fagerholm's research explores: Continuous experimentation in software development Developer cognition and mental models Agile methodologies and team dynamics Low-code platforms and end-user programming Software engineering education and pedagogy His publications reflect a strong empirical focus, with recurring themes of human factors in technical systems and educational innovation. He has received notable awards including: Journal of Systems and Software Best Paper Award (2018) EUROMICRO SEAA Distinguished Paper Award (2017) Teacher of the Year (2013) Nokia Foundation Scholarship (2013) Fagerholm contributes to software engineering infrastructure through tools for experimentation and boundary artifacts, enhancing collaboration in distributed teams.
Melanie Mitchell is a Professor at the Santa Fe Institute, focusing on artificial intelligence, cognitive science, and complex systems. She is an inaugural Fractal Faculty member and originated the Complexity Explorer platform. PhD in Computer Science from University of Michigan (1990) Faculty/research roles at Santa Fe Institute, Portland State University, Los Alamos National Laboratory, and others Her research explores abstraction, analogy-making, and reasoning in AI and human intelligence. She has authored six books, including the award-winning Complexity: A Guided Tour and Artificial Intelligence: A Guide for Thinking Humans . Recent work examines large language models, conceptual understanding, and cognitive parallels between humans and AI. Her 15 most recent publications address topics like AI reasoning, language model robustness, cognitive metaphors, and the Turing test's evolving relevance. Awards include the Phi Beta Kappa Science Book Award and the Herbert A. Simon Award. She advises numerous PhD and postdoctoral students and leads public outreach through online courses and media appearances.
Mariana Gkliati is an Assistant Professor of International and EU Law at Radboud University, Nijmegen. She holds a Graduate Diploma in Law (Magna Cum Laude) from the National and Kapodistrian University of Athens and a Legal Research Master (Summa Cum Laude) from Utrecht University. Her PhD from Leiden University focused on Frontex accountability, supervised by Professors Rodrigues and Besselink, and was supported by the Meijers Research Institute. Education: PhD in Immigration Law, Leiden University (2016-2020) Legal Research Master, Utrecht University (Summa Cum Laude) Graduate Diploma in Law, National and Kapodistrian University of Athens (Magna Cum Laude) Her research interests center on migration, refugee law, and human rights, particularly the accountability of the European Border and Coast Guard Agency (Frontex). She leads the externally funded project 'European Border and Coast Guard Agency: Systemic Accountability in Practice,' involving an 8-member team. Her work emphasizes evidence-based policy-making and anti-smuggling policies. Professional Activities: Research Affiliate, Refugee Law Initiative (RLI), University of London Teaches on the RLI MA in Refugee Protection and Forced Migration Studies Former visiting Research Fellow at the School of Advanced Study (2016) and Amsterdam Centre for Migration and Refugee Law (2019-2020) Awards: Magna Cum Laude, Graduate Diploma in Law Summa Cum Laude, Legal Research Master Her grants and projects include systemic accountability research on Frontex. She advises NGOs, law firms, and the European Parliament, and contributes to expert reports on migration and borders. Labs/Teams: Leads an 8-member research team for her funded project on Frontex accountability.
