Prof. Diane DE SAINT AFFRIQUE is a full-time Professor at SKEMA Business School (France) since 2019, specializing in Business Law, Ethics, and Governance. She holds a Doctorat d'Etat en Droit (2002) from Université Paris 2 Panthéon-Assas, with additional qualifications from ESSEC Business School and other institutions. Her academic leadership roles include Head of the Contract Law Master program (2016–present), Head of the Law Department (2003–2014), and responsible for the Master in Business Law (2006–2016). Research Focus: Her work centers on corporate governance, sustainable finance, AI ethics in healthcare and business, and legal frameworks for responsible business practices (RSE). She explores tensions between regulatory compliance and corporate autonomy, with recent emphasis on duty of vigilance legislation and AI accountability. Key Contributions: Over 30+ publications include analyses of: Legal implications of AI in medicine and business Corporate social responsibility and judicialization trends Religious freedom in French workplaces Data sovereignty and AI governance Affiliations & Impact: She chairs the French Academy of Legal Studies and Business, serves on the Board of VITAMINE T, and advises institutions like IFSI Ambroise-Paré. Her work frequently bridges legal theory with practical business challenges, emphasizing interdisciplinary solutions for global governance issues.
Professor Dr. Prof. h.c. Thomas M.J. Möllers holds the Chair for Civil Law, Commercial Law, European Law, International Private Law and Comparative Law at the Faculty of Law, University of Augsburg. As a full professor, he leads research and teaching in multiple legal disciplines with a particular focus on German and European financial regulation, corporate law, and legal methodology. His work bridges traditional legal scholarship with contemporary challenges posed by digitalization and globalization. Professor Möllers' research interests span German and European Capital Markets law, German and European Company Law, Legal methods, Comparative Law, European Union Law, and Competition Law. His scholarly work demonstrates exceptional breadth, connecting doctrinal legal analysis with practical applications in evolving regulatory environments. He has made significant contributions to understanding the interface between national legal systems and EU regulation, particularly in financial markets. His recent publications reveal a strong focus on capital markets regulation, particularly regarding the Wirecard scandal and auditor liability, consumer protection in e-commerce, data protection across different legal systems, and the impact of AI on legal methodology. The trajectory of his work shows increasing engagement with comparative legal analysis between European, American, and Chinese legal systems, reflecting his growing international influence. TOP 1% Most Cited Books (2019-2023) - Legal Translations in China for his 'Legal Methodology' Honorary Professor at Central South University, Changsha, Hunan (2024) Professor Möllers has mentored numerous successful legal scholars who have gone on to academic and professional careers, including Dr. Liuhua Shen (now a professor at Jiangsu University), Dr. Maximilian Merwald, and Dr. Lisa Wolf. His research is supported by various grants, including DAAD funding for US exchange programs and participation in the Jean Monnet Centre of Excellence - INspiRE on consumer protection, capital markets, and competition law enforcement. He leads the Research Center of Innovation and Legal Studies between China and Europe (RICE) and is actively involved in the Caplaw initiative, which provides resources on European and national business law. His work connects legal scholarship with practical applications through podcasts, student research showcases, and collaborative projects across multiple legal systems.
Timo Minssen is Professor of Law at the University of Copenhagen (UCPH) and the Founding Director of UCPH's Center for Advanced Studies in Bioscience Innovation Law (CeBIL). He also holds affiliations as an LML Research Affiliate at the University of Cambridge and an Inter-CeBIL Research Affiliate at Harvard Law School's Petrie-Flom Centre. With extensive expertise in Intellectual Property, Competition, and Regulatory Law, Minssen focuses on the legal aspects of emerging health and life science technologies, including genome editing, big data, artificial intelligence, and quantum technology. His educational background includes a German law degree (Staatsexamen) from Georg-August-University in Göttingen, and Swedish biotech & IPR related LL.M., LL.Lic., and LL.D. degrees from Lund University and Uppsala University. His PhD thesis on the patentability of biopharmaceutical technology in the US & Europe received the prestigious Swedish King Oscar award. 2024: TUM Global Visiting Professor, Technical University of Munich (Germany) 2016: Visiting Research Fellow, University of Cambridge (UK) 2014: Visiting Research Fellow, University of Oxford (UK) 2013-14: Visiting Scholar, Harvard Law School (US) 2012: LL.D. - Doctor of Laws (Swedish "juris doktor"), EU/US patent law, Lund University, Sweden Minssen's research spans AI & Big Data in Health & Life Sciences, Sustainable and responsible innovation & tech transfer, Pharmaceutical-, Life Science- & Biotech Law, Comparative European & US Patent Law, Intellectual Property Law & Open Innovation, and EU Competition- & US Antitrust Law. His work addresses legal issues throughout the lifecycle of health and life science products and processes, from R&D regulation to technology transfer and commercialization. His extensive publication record includes 7 books and over 200 articles and book chapters published in leading journals such as Science, Nature Biotechnology, JAMA, and Harvard Business Review. His research has been featured in The Economist, Financial Times, and other major media outlets. Minssen's recent work shows a strong focus on AI regulation, quantum technology law, and data governance in health contexts, reflecting the evolving landscape of technology and law. Scientific Awards and Recognition King Oscar award for best Jur. Dr. thesis (2014) Jorcks Fonds Forsknings Pris (Jorck's Foundation Research Prize) (2017) Awapatent Research Prize (2009) Max Planck Research Scholarship (2005) Visiting Scholar appointments at Harvard Law School, University of Oxford, and University of Cambridge Recipient of a Novo Nordisk Foundation Grant for a "Collaborative Research Program in Biomedical Innovation Law" (2018) As an advisor, Minssen serves international organizations including the WHO, WIPO, and EU Commission. He has supervised numerous PhD students in areas including pharmaceutical law, biotechnology patents, and antimicrobial resistance. His current research projects include the Novo Nordisk Foundation's International Collaborative Bioscience Innovation & Law (Inter-CeBIL) Programme (50 million DKK), CLASSICA: EU Horizon Project on AI-assisted surgery, and AI@Care: Law and Ethics and Algorithmic Bias in Healthcare. Minssen leads the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), which serves as a hub for interdisciplinary research on the intersection of law, technology, and innovation in the health and life sciences. The center collaborates with institutions worldwide to address pressing legal challenges in emerging technologies.
Séverine Dusollier is a Professor of Intellectual Property at the Law School of Sciences Po Paris and holds a Senior Chair at the Institut Universitaire de France. She serves as Director of the Law School's Research Centre and Head of the Master in Innovation Law, actively contributing to doctoral committee activities. Her expertise spans copyright law , digital rights , and intellectual property frameworks. Key roles : Research Centre Director, Master in Innovation Law Head International engagement : Founding Member of the European Copyright Society, ATRIP member Her research focuses on digital copyright issues , authorship concepts , contractual protections for creators , and the evolution of exceptions and limitations . Recent work explores generative AI implications, public domain dynamics , and inclusive property models . She has held visiting positions at Berkeley, Columbia, NYU, and Cambridge. Notable scientific awards include: ERC research grant (2014–2019) Senior Chair, Institut Universitaire de France CSPLA (French Copyright Council) membership Her publications emphasize digital transitions , IP openness , and fair remuneration in streaming , reflecting her dedication to reconciling traditional IP structures with modern technological realities.
Dr. Jiahong Chen is a Lecturer in Law at the University of Sheffield School of Law . His research focuses on the intersection of law and technology, particularly Data Protection Law , Cybersecurity Law , Law and AI , and Internet Regulation . He serves as Departmental EDI Director and Deputy LLM Programme Director. PhD, University of Edinburgh LLM, China University of Political Science and Law LLB, China University of Political Science and Law His research examines regulatory challenges in smart homes , large language models , and data ethics . Current projects include the ESRC-funded "The Internet of Tactical Engagement (IoTE)" and RAI UK's "Addressing Socio-technical Limitations of Large Language Models" . Publications span GDPR interpretation, health data regulation, and smart device accountability. He teaches modules on Information Technology Law , Data Privacy and Governance , and Consumer Law .
Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.
Bertram Müller-Myhsok is a Research Professor and Research Group Leader at the Max Planck Institute of Psychiatry in Munich, Germany. His research focuses on statistical genetics and transcriptomic data analysis in psychiatric disorders, particularly major depression, PTSD, schizophrenia, and their treatment responses. He integrates machine learning with genetic and clinical data to develop predictive models and stratified treatment approaches. Professional activities include leadership roles in the International Max Planck Research School for Translational Psychiatry and collaborations with institutions like the Institut du Cerveau (Paris) and Bernhard Nocht Institute (Hamburg). His work spans genetic epidemiology, psychiatric genomics, and precision medicine, with over 400 publications in high-impact journals. Key research areas include identifying genetic risk factors for mental disorders, developing polygenic scores, and leveraging omics data to uncover disease mechanisms. He leads projects like Psych-STRATA, a Horizon Europe-funded initiative advancing personalized psychiatry through pharmacogenomics.
Professor Irem Dikmen is a leading academic in Construction Engineering and Management at the University of Reading, where she serves as School Director of Internationalisation in the Chancellor's Building. Her research integrates engineering, management, and information sciences to advance construction project risk management, particularly focusing on climate resilience, digital technologies, and social value in infrastructure systems. PhD, MSc, and BSc in Civil Engineering from Middle East Technical University Her work leverages systems thinking, artificial intelligence, and digital tools to develop decision-support frameworks for megaprojects and climate adaptation. Recent publications highlight innovations in NLP contract analysis, energy performance ontologies, and risk visualization techniques. She supervises students on topics spanning IoT lifecycle management, ESG risks, and NLP defect detection. Key collaborations include the Climate and Finance Research Cluster and Walker Institute , with contributions to digital construction technologies and sustainability risk assessment. Teaching modules include Construction Risk Management, Economics, and Business Organisation.
Suzie Dunn is an Assistant Professor at Dalhousie University's Schulich School of Law and Acting Director of the Law & Technology Institute. She teaches Contracts, Judicial Decision-Making, Law and Technology, Intellectual Property, and Legal Ethics. Her research focuses on the intersection of gender, equality, technology, and law, particularly technology-facilitated violence, deepfakes, and digital privacy. Education: PhD candidate at the University of Ottawa Faculty of Law, with JD, LLM, and BA degrees. She previously served as a part-time professor at the University of Ottawa, where she taught Contracts and Law of Images, earning a 2021 teaching excellence award. Awards include the Joseph-Armand Bombardier Scholarship for PhD research and the Greenberg Prize for Feminist Research. Professional roles include advising the G7 and UN on gender-based violence in digital contexts, contributing to CIPPIC interventions in landmark Supreme Court cases (R v Jarvis, R v Downes), and serving on advisory boards for organizations like the Women’s Legal Education and Action Fund. She is a Senior Fellow at CIGI, working on global projects against online gender-based violence, and co-authored a UN resolution on digital violence prevention. Her work extends to tech safety toolkits for domestic violence shelters, policy development, and international collaborations. She was called to the Ontario bar in 2016 and actively engages in public discourse on AI ethics and digital rights.
Aaron Roth is the Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania, affiliated with the Department of Computer and Information Science in the School of Engineering and Applied Science. He holds a secondary appointment in the Department of Statistics and Data Science at the Wharton School and is associated with several research centers including PRiML, the Warren Center for Network and Data Sciences, and the AMCS program. He received his PhD from Carnegie Mellon University under Avrim Blum and was a postdoc at Microsoft Research New England. His research focuses on algorithms and machine learning, particularly in private data analysis, fairness in machine learning, game theory, mechanism design, and learning theory. His work bridges theoretical computer science with societal concerns, advocating for ethically aware algorithm design. He co-authored the book The Ethical Algorithm with Michael Kearns, which explores how to embed social values like privacy and fairness into algorithmic systems. His recent publications show a strong trend toward uncertainty quantification, multicalibration, conformal prediction, and fairness in reinforcement learning and high-dimensional settings. He frequently publishes in top-tier venues such as STOC, FOCS, ICML, NeurIPS, and COLT, often with a focus on rigorous theoretical foundations with practical implications. Hans Sigrist Prize Presidential Early Career Award for Scientists and Engineers (PECASE) Alfred P. Sloan Research Fellowship NSF CAREER award Google Faculty Research Award Amazon Research Award Yahoo Academic Career Enhancement award Roth has advised numerous PhD students and postdocs, many of whom now hold academic or industry research positions. He is also an Amazon Scholar at AWS and has served in advisory roles for companies like Apple, Facebook, Leapyear, and Spectrum Labs. He has been active in organizing workshops and tutorials on differential privacy, fairness, and adaptive data analysis, and has given keynotes at major conferences and institutions worldwide. He leads research groups and collaborates widely across Penn, focusing on responsible AI, privacy, and algorithmic fairness. His lab produces foundational work on calibration, unlearning, privacy-preserving learning, and equitable decision-making systems.
Thomas Grote is a Research Fellow at the University of Tübingen's Ethics and Philosophy Lab within the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. His research focuses on philosophical and ethical dimensions of artificial intelligence, particularly interpretability, fairness, and reliability in medical and social contexts. He co-supervises the Carl-Zeiss-Stiftung-funded project 'Certification and Foundations of Safe Machine Learning Systems in Healthcare' and co-organizes the 'Philosophy of Science Meets Machine Learning' conference series. Research Focus Grote's interdisciplinary work bridges philosophy of science and applied AI ethics. Key areas include: Methodological foundations of AI ethics and epistemology Clinical reliability and safety of ML systems Fairness metrics in sociotechnical healthcare systems Interpretability requirements for medical AI Computational psychiatry and evolving mental health frameworks His recent publications demonstrate strong emphasis on healthcare applications, with critical analyses of reliability in foundation models, ethical paradigms for LLMs, and rethinking evaluation methodologies at the epistemology-ethics interface.
Eric Talley is the Marc and Eva Stern Professor of Law and Business at Columbia Law School , where he has served as Full-time Faculty since 2015. Prior to Columbia, he held tenured positions at the University of California, Berkeley (2006–2015) and the University of Southern California (1995–2006), and visiting appointments at Caltech, University of Chicago, ETH-Zurich, European University Institute, Georgetown, Harvard, RAND Graduate School, and Stanford. Education : J.D. and Ph.D. in Economics from Stanford University; B.A. in Economics & Political Science from UC San Diego His research and teaching focus on Corporate Law , Mergers & Acquisitions , Corporate Governance , Law and Machine Learning , and Economic Analysis of Law . He co-directs the Ira M. Millstein Center for Global Markets and Corporate Ownership , directing research on corporate governance and performance trends. Recent publications analyze topics such as valuation disputes , officer liability in Delaware , and gender dynamics in startups , reflecting his interdisciplinary approach blending law, finance, and data science. His work has been featured in top journals and media outlets like the Wall Street Journal , Bloomberg , and Harvard Law School’s Forum . Scientific Awards : Willis L.M. Reese Prize for Excellence in Teaching (2017, 2022) Elected member of the American Academy of Arts & Sciences (2024) Talley hosts the Beyond “Unprecedented” podcast, exploring economic recovery post-pandemic. He serves on the Executive Committee of the Columbia University Data Science Institute and has held leadership roles in the Society for Empirical Legal Studies and the American Law and Economics Association.
Barbara J. Evans is a Stephen C. O’Connell Chair Professor of Law and Professor of Engineering at the University of Florida, with joint appointments in the Levin College of Law and Herbert Wertheim College of Engineering. She focuses on data privacy, AI/ML medical software regulation, genomic technologies, and diagnostic testing, and is a key member of the NIH Bridge2AI project. Education : J.D. from Yale Law School, LL.M. in Health Law from the University of Houston, postdoctoral training in clinical ethics at MD Anderson, and a Ph.D. in Earth Sciences from Stanford. Her research bridges law and engineering, emphasizing ethical and regulatory challenges in AI/ML medical applications, genomic data governance, and DIY biotechnology. She has led initiatives like the LawSeq SM project to standardize genomic analysis policies. The 15 most recent works highlight her interdisciplinary focus on AI ethics in healthcare, genomic privacy, and regulatory frameworks for emerging technologies. Key subfields include biomedical data sharing, FDA compliance, and equitable access to health data infrastructure. Scientific Awards : American Law Institute membership, IEEE Senior Membership, Greenwall Foundation Faculty Scholar. Evans has collaborated with institutions like the American College of Medical Genetics and Genomics (ACMG) and contributed to guidelines for genomic medicine. Her grants include NIH funding for Bridge2AI and LawSeq SM projects.
Benjamin Alarie is a Professor and the Osler Chair in Business Law at the University of Toronto Faculty of Law. He is a leading scholar at the intersection of artificial intelligence, law, and taxation, and the co-founder and CEO of Blue J, an AI-powered tax research platform used by over 3,000 organizations across North America and the UK. Education: LL.M. – Yale Law School (2003) J.D. – University of Toronto (2002), with honours M.A. – University of Toronto (2002) B.A. – Wilfrid Laurier University (1999), with high distinction Research Interests: Alarie’s research spans tax law , legal theory , judicial behaviour , and the applications of machine learning in law . He introduced the concept of the “legal singularity”—the idea that legal systems may evolve toward greater clarity and predictability through AI and computational methods. His work explores how AI can enhance legal reasoning, regulatory design, and tax compliance. He is particularly focused on the ethical and practical implications of generative AI in legal and tax practice, including liability, transparency, and the future role of human practitioners in AI-augmented systems. Scientific Awards: PROSE Award (2024) for The Legal Singularity Donner Prize shortlist (2024) for The Legal Singularity vLex Fastcase 50 Honoree (2023) Top 50 Changemaker, The Globe and Mail (2022) Alan Mewett QC Prize for Excellence (2009) Advising & Grants: Alarie is a frequent advisor to courts, government agencies, and global professional networks. His work at Blue J involves strategic partnerships with CPA.com, CPA Canada, the National Association of Tax Professionals, Big 4 accounting firms, and Tax Notes. He also serves as a faculty affiliate at the Vector Institute for AI and the Schwartz Reisman Institute for Technology and Society. Labs & Teams: As CEO of Blue J, Alarie leads a multidisciplinary team of legal scholars, engineers, and data scientists. The platform is used by tax authorities and accounting firms to deliver precise, defensible, and efficient tax research and decision-making tools.
Joshua Fairfield is the William Donald Bain Family Professor of Law and Director of Artificial Intelligence Legal Innovation Strategy at Washington and Lee University's School of Law. His expertise spans digital property, data privacy, cryptocurrencies, and virtual worlds regulation. He holds a BA from Swarthmore College and a JD from the University of Chicago. Professor Fairfield's research focuses on the intersection of law and technology, particularly in digital ownership, privacy rights, and emerging technologies like IoT and blockchain. He has authored influential books, including Owned: Property, Privacy and the New Digital Serfdom (2017) and Runaway Technology: Can Law Keep Up? (2021). His work critiques corporate control over digital devices and advocates for consumer rights in the digital age. Education: BA, Swarthmore College; JD, University of Chicago Key Achievements: Fulbright Grant (2012–2013), American Law Institute Member (2013) Consulting: Advises U.S. agencies like the White House Office of Technology and Homeland Security Privacy Office His recent articles address topics such as environmental AI ethics, NFT regulation, and smart contract governance. Fairfield emphasizes the need for updated legal frameworks to protect digital rights and ensure democratic control over technology. He directs the AI Legal Innovation Strategy initiative, focusing on integrating AI into legal systems while addressing ethical and regulatory challenges.
