Loïc Guezou is a Researcher at the Paris-Saclay University's Mechanics Laboratory, focusing on interdisciplinary research spanning biomedical engineering and geopolitical studies. His work integrates computational mechanics with additive manufacturing for patient-specific anatomy modeling, while also addressing emerging cyber-geopolitical challenges. Key Research Areas: Biomedical Engineering: High-fidelity numerical models for 3D printing Computational Mechanics: Application to medical device development Geopolitical Studies: Cybersecurity and digital policy implications Recent conference communications highlight his collaborative approach, working with experts like Andrea Barbarulo, Bing Tie (biomedical projects), and Frédérick Douzet, Julien Nocetti (cyber-geopolitical research). Although no formal awards or student advisement details are currently documented in the available records, his publications reflect a dual focus on technological innovation and socio-political analysis.
Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.
Dr. Laura Channing serves as Assistant Professor in Economic History within the Department of History at Durham University, concurrently holding roles as Department Representative and Fellow of the Durham Research Methods Centre. Her academic foundation includes a History degree from King's College London, followed by an MPhil in Economic and Social History (2017) and PhD in History (2021) from the University of Cambridge. Distinguished appointments include the Jane Eliza Procter Fellowship at Princeton University (2019-2020), Economic History Society Anniversary Fellowship at the Institute of Historical Research, and Visiting Fellowship at LSE's Department of Economic History. Channing's research pioneers interdisciplinary analysis of West African economic development from the 19th-20th centuries, specializing in colonial taxation systems, labor dynamics, and living standards. Her methodological innovation integrates qualitative archives with newly digitized quantitative sources from British and African repositories, currently culminating in a monograph on taxation-representation relationships in West African colonies. Recent publications reveal consistent focus on fiscal governance within composite colonial states and African agency in humanitarian frameworks. Jane Eliza Procter Fellow at Princeton University Economic History Society Anniversary Fellow at the Institute of Historical Research Her teaching expertise in African and Economic History, demonstrated during LSE appointments, complements active contributions to the Durham Research Methods Centre's interdisciplinary initiatives in historical methodology and data analysis.
Maile Arvin is a Kanaka Maoli feminist scholar and Assistant Professor at the Department of Ethnic Studies, University of Hawaiʻi at Mānoa. Her research and teaching focus on Indigenous relationships to land, histories of race and settler colonialism in Hawaiʻi, Oceania, and the United States. Previously, she was faculty in History and Gender Studies at the University of Utah and founding director of the Center for Pasifika Indigenous Knowledges. PhD in Ethnic Studies, University of California San Diego (2013) MA in Ethnic Studies, University of California San Diego (2009) BA in English, Swarthmore College (2005) Her research examines: Colonial production of racial categories, particularly Polynesians as an 'almost white race' in historical social science History of incarceration of Native Hawaiian children in government institutions (1865–1960s) Intersection of settler colonialism and Indigenous feminisms Critique of eugenics and genomic studies in the Pacific Community-engaged memorialization projects in Hawaiʻi Recent scholarly trends include analyses of Indigenous sovereignty, critiques of settler colonial whiteness, and interdisciplinary studies of race-gender dynamics. Arvin's publications explore Polynesian racialization, decolonial feminism, and the socioeconomic impacts of colonial institutions. NEH Chair's Grant for Nā Lei Poina ʻOle ACLS Digital Justice Seed Grant Arvin leads Nā Lei Poina ʻOle (Beloved Children Never Forgotten), a community history project about reformatories and industrial schools in Hawaiʻi. In collaboration with Kawela Farrant and the North Shore Community Land Trust, this project uses archival and oral histories to confront the legacy of child incarceration. She also critiques the nonprofit-industrial complex's role in limiting Indigenous sovereignty.
Steven Jackson is a Professor of Information Science and Science and Technology Studies at Cornell University's Bowers College of Computing and Information Science, with additional graduate field appointments in Communication and Public Affairs. Since July 2023, he has served as Vice-Provost for Academic Innovation at Cornell, and previously held leadership positions as Chair of Information Science and Dean of William Keeton House. His work bridges academic research with significant institutional leadership in higher education innovation. Dr. Jackson's research focuses on critical intersections of technology, society, and the environment, with three primary strands: technology ethics, law and policy; maintenance, repair and sustainability; and technology, inequality and global development. His work draws from American pragmatism, political economy, and science and technology studies, integrating methods from sociology, anthropology, philosophy, and media studies. He is particularly interested in how computing practices meet social and material worlds, with implications for infrastructure, collaboration, sustainability, and cultural practice. His recent publications reveal a strong emphasis on repair as both theoretical concept and practical methodology, exploring 'ordinary hope' as a framework for technological engagement and examining unmaking as a necessary counterpart to design. The research spans diverse geographical contexts from the global North to South, addressing caste dynamics in computing, digital authoritarianism, and infrastructure challenges in developing contexts. Dr. Jackson has received significant recognition including an NSF CAREER award and more than twenty paper awards at leading computing and information science venues. His research has been supported by major organizations including the U.S. National Science Foundation, Social Science Research Council, Ford Foundation, Sloan Foundation, World Bank, Intel Research, Atkinson Center for Sustainability, and the Canadian Social Science and Humanities Research Council. As an advisor, Dr. Jackson has mentored numerous graduate students who have gone on to prominent positions at institutions worldwide. He currently advises Jen Liu, Amy Cheatle, Daniel Mwesigwa, Johan Michalove, and Ritik Batra, while his former students include Palashi Vaghela (Assistant Professor at Simon Fraser University), Samir Passi (Responsible AI Researcher at Microsoft), Maggie Jack (Assistant Professor at NYU), and Ranjit Singh (Senior Researcher at Data and Society). Dr. Jackson convenes the Computing On Earth Lab, an experimental collaboration bringing together social scientists, humanists, artists, and engineers to rethink the material and planetary foundations of computing. The lab reflects his commitment to interdisciplinary approaches that address computing's environmental impacts and sustainability challenges.
Tim Althoff is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, specializing in Artificial Intelligence and Human-Centered Computing. His research focuses on behavioral data science, combining Data Science Natural Language Processing Social Computing Human-Centered AI Ethics & Fairness to extract insights about health and well-being. Recent publications highlight advancements in: Mental health support through AI Wearable sensor health monitoring Online community analysis Reproducibility in data science Public health interventions with notable papers in ACL, Nature Machine Intelligence, and NeurIPS. Scientific recognition includes: ACL 2023 Outstanding Paper Award WWW 2021 Best Paper Award Double ICWSM 2021 Best Paper Awards SIGKDD Dissertation Award 2019 Fulbright Scholarship German National Merit Foundation Actively mentoring postdoctoral researchers and seeking PhD students in areas like neural representation learning, NLP applications to psychology, and mobile health technologies through his Behavioral Data Science Group .
Institute of Hygiene and Tropical MedicinePortugal
Dr Peninah Murage is an Assistant Professor at the London School of Hygiene & Tropical Medicine in the Department of Public Health, Environments and Society under the Faculty of Public Health and Policy. She specializes in environmental epidemiology with a PhD in Health Geography and focuses on health impacts of environmental changes, particularly climate change mitigation and adaptation strategies. Affiliation: Centre on Climate Change and Planetary Health Her research explores climate change effects on health outcomes like heat-related mortality, cardiovascular diseases, and cognitive development in children. She integrates GIS/spatial analysis with public health and policy frameworks to identify nature-based solutions for sustainable development. Current work examines systemic inequalities in heat risk exposure and interventions such as tree-based strategies in low-income settings. Key grants include: Health Protection Research Unit on Climate Change and Health Security (2025-2030, NIHR) Climate Change and Non-Communicable Diseases in Senegal (2024-2027) Pathfinder 2: Accelerating Climate Action for Health (2023-2026) She actively contributes to the Lancet Pathfinder Commission and serves on the Executive Committee of the International Society of Environmental Epidemiology (African Chapter).
Ariel Pakes is the Thomas Professor of Economics at Harvard University, part of the Faculty of Arts and Sciences and the Department of Economics. He previously held the Charles and Dorothea Dilley Professorship at Yale University and tenured roles at institutions including the University of Wisconsin and the Hebrew University of Jerusalem. His research focuses on industrial organization (I.O.), the economics of technological change, and econometric theory. Pakes has advised notable students who now lead economics departments globally and has received prestigious awards including the Frisch Medal (1986) and election to the American Academy of Arts and Sciences (2002). Education: Pakes earned his Ph.D. in Economics from Harvard University in 1980. His academic journey includes roles as a lecturer at Harvard and positions at the University of Jerusalem. Research Interests: Pakes has pioneered methodologies for analyzing I.O. models, including demand and cost system estimation. Recent work examines AI’s impact on pricing strategies, antitrust policy implications of market dynamics, and healthcare cost structures. His theoretical contributions include simulation estimators and frameworks for dynamic oligopolies. Awards: Frisch Medal (Econometric Society, 1986) Fellow of the Econometric Society (1988) Fellow of the American Academy of Arts and Sciences (2002) Best Graduate Student Advisor Award (Yale University, 1996) Advisory and Grants: Pakes has served on NSF panels, including the Economics Advisory Panel and Presidential Fellow Advisory Board. His consulting work spans government agencies and large firms. He edited the RAND Journal of Economics and co-chaired the AEA Census Advisory Panel. Labs/Teams: Collaborates with NBER as a Research Associate and contributes to interdisciplinary projects like the PNAS issue on 'Science, Technology and the Economy.'
Richard J. Aldrich is a Professor of International Security at the University of Warwick. His research focuses on intelligence, cybersecurity, and digital politics, with notable contributions to understanding historical and modern security challenges. He has led major projects including the AHRC-funded study on the CIA and U.S. foreign policy, and co-edits journals like Intelligence and National Security . Aldrich advises governments on records management and declassification, notably assisting the German Bundestag inquiry into the NSA 'Snowden' affair. He holds a Distinguished Scholar award from the International Studies Association and has published extensively, including the acclaimed GCHQ: Centenary Edition . Teaching modules include 'Vigilant State: The Politics of Intelligence' and 'Cybersecurity: War, Spies, Crime, and Protest on the Internet.'
Andrew Connor is a Senior Lecturer in Archaeology and Ancient History at Monash University. He specializes in Ptolemaic and Roman Egypt, papyrology, and the social and religious history of ancient Egyptian communities. His research focuses on Egyptian temples during the Roman period, ancient economic practices, and the editing and publication of documentary papyri. Connor has particular expertise in the Fayum depression and Dakhleh Oasis regions. Connor's publications demonstrate a consistent focus on Egyptian religious institutions, economic systems, and textual evidence from archaeological sites. His recent work includes publications on temple administration, Greek papyri, and digital archaeology. He has received multiple teaching awards including the Faculty Citation for Outstanding Contribution to Student Learning (2017), Faculty Citation for Overseas Programs (2018), and Vice Chancellor's Citation for Outstanding Contribution to Student Learning (2018). Connor teaches courses on Greek and Roman history, archaeology, and ancient languages at both undergraduate and postgraduate levels. He serves as Honours Coordinator for the School of Philosophical, Historical, and International Studies.
Max Planck Institute for Intelligent SystemsGermany
Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. She leads the Algorithms and Society research group, focusing on machine learning in social contexts and the role of prediction in digital economies. Her work bridges theoretical machine learning with practical societal impact, developing tools for safe, reliable, and equitable AI ecosystems. Her educational background includes a PhD from ETH Zurich in collaboration with IBM Research, followed by an SNSF postdoctoral fellowship at UC Berkeley hosted by Moritz Hardt. She was previously a group leader at the Max Planck Institute for Intelligent Systems before joining the ELLIS Institute. Mendler-Dünner's research spans several interconnected themes including performative prediction (where predictions change the behavior they aim to predict), algorithmic collective action (how participants can steer AI systems toward common goals), and the role of LLMs in social science research. Her work combines theoretical foundations with practical implementations, addressing challenges in interactive machine learning, optimization in dynamic environments, and context-specific evaluation of AI systems. She particularly examines how algorithmic predictions mediate services and platforms at societal scale, exploring concepts of economic power in digital markets. Her publication record shows a clear evolution from system-aware machine learning algorithms (including foundational work on IBM Snap ML) toward increasingly sociotechnical questions at the intersection of machine learning, economics, and policy. Recent work focuses on measuring performative power in digital economies, evaluating LLMs as risk scores, and developing frameworks for algorithmic collective action in recommender systems and labor markets. Among her notable recognitions are the ETH Medal for her dissertation, the IBM Research Division Award, the Fritz Kutter Award, and the IBM Eminence and Excellence Award. She is an ELLIS Scholar, a fellow of the Elisabeth-Schiemann-Kolleg, and affiliated with several prestigious research programs including the International Max Planck Research School for Intelligent Systems and the Max Planck ETH Center for Learning Systems. ETH Medal (dissertation award) IBM Research Division Award Fritz Kutter Award IBM Eminence and Excellence Award SNSF Early Postdoc Mobility Fellowship Mendler-Dünner actively mentors the next generation of researchers, advising PhD student Patrik Wolf and supervising research interns including Joachim Baumann, Haiqing Zhu, and Anna Badalyan, as well as Master's student Dorothee Sigg. She serves as core faculty for the International Max Planck Research School and associated faculty for the Max Planck ETH Center for Learning Systems. Her group has secured significant research funding through fellowships and institutional support, enabling work on projects like Powermeter (measuring search engine influence) and Snap ML (resource-efficient machine learning library with over 1 million PyPI downloads). She leads the Algorithms and Society research group, which examines machine learning as part of broader sociotechnical ecosystems. The group explores human-population interactions with algorithmic systems and incorporates these insights into learning system fundamentals. Current projects include investigating economic incentives in digital platforms, developing tools for systematic LLM evaluation in social science contexts, and creating frameworks for collective action in algorithmic systems. Mendler-Dünner also co-organizes the Algorithmic Collective Action workshop at NeurIPS 2025, demonstrating her leadership in emerging research directions at the AI-society interface.
Mark Wu is the Henry L. Stimson Professor at Harvard Law School, specializing in international trade and international economic law. He serves as Faculty Director of the Fairbank Center for Chinese Studies and Co-Director of the Berkman Klein Center for Internet and Society. His research focuses on global governance, digital technologies, trade remedies, environment, and foreign investment. Wu holds a J.D. from Yale Law School, an M.Sc. in Development Economics from Oxford (Rhodes Scholar), and an A.B. from Harvard University. He has held roles at the World Bank, USTR, and McKinsey & Company. His awards include the Sacks-Freund Award and HLS Teaching Award. Wu’s recent roles include Senior Advisor to USTR (2021) and Biden-Harris Transition Team member. He has advised international organizations like the G20, OECD, and WTO. His scholarship addresses challenges in global trade governance and emerging economies. Key affiliations: Asia Center, Center for the Environment, Center for International Development, East Asian Legal Studies, Harvard Environmental Economics Program. Courses taught include International Trade Law and U.S. Economic Statecraft.
Hernan Galperin is a Professor of Communication and Director of Doctoral Studies at the USC Annenberg School for Communication and Journalism. His expertise lies in Internet policy, digital inequality, and the intersection of technology adoption with social stratification. He holds affiliations with institutions like the Annenberg Research Network on International Communication (ARNIC) and the USC Annenberg Innovation Lab. Galperin has authored four books and published in leading journals such as Telecommunications Policy and New Media & Society. His research, funded by organizations like the Pew Charitable Trust and the Inter-American Development Bank, focuses on broadband accessibility, digital inclusion, and policy impacts. Notable awards include membership in the World Economic Forum’s Global Future Council and top paper awards from the International Communication Association (2020, 2022). Education background: While not explicitly detailed in the provided text, his academic roles and publications imply advanced training in communication studies, public policy, or related fields. His work integrates quantitative methods with policy analysis to address global challenges in technology access. Research highlights include studies on broadband’s role in poverty reduction (Ecuador), geographic discrimination in the gig economy, and the gender digital divide in Latin America. He has contributed policy briefs on the Affordable Connectivity Program and digital inclusion in public housing, demonstrating real-world policy impact. His affiliations with global institutions reflect a focus on international collaboration in addressing digital divides. Grants and awards: His funding sources include the Pew Charitable Trust, IDRC-Canada, and the Internet Society. Awards highlight his contributions to cyberpolicy and global media governance. His work often bridges academic research with actionable policy recommendations, particularly in underserved regions. Labs and teams: He directs ARNIC and collaborates with the USC Annenberg Innovation Lab and USC Price Center for Social Innovation, fostering interdisciplinary approaches to communication and technology challenges.
David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.
LK Bertram is an Associate Professor in the Department of History at the University of Toronto, specializing in 19th-century North American history with a focus on migration, gender, sexuality, and colonialism. Her work bridges academic research and public engagement, particularly through social media algorithms (TikTok, Instagram) for combating digital disinformation. Clio Prize-winning author (2020) 2022 SSHRC Insight Grant recipient Public history campaign curator (9 million+ views) Her research spans colonial institutions, sex work economies, and material culture, with publications on Icelandic diaspora, Arctic militarization, and immigrant food traditions. She teaches courses like HIS199 History and Social Media and HIS417 Histories of Sex Work , emphasizing hands-on learning via exhibitions and artifact workshops. Recent projects explore how social media algorithms can amplify quality historical data, including the viral @socialforscholars initiative. Her work connects historical narratives to contemporary debates on disinformation, cultural appropriation, and legal frameworks.
