Tasos Kalandrakis is a Professor of Political Science at the University of Rochester, affiliated with the School of Arts & Sciences. He holds a PhD from UCLA (2000). His research focuses on political economy, game theory, legislative policy-making, and bargaining models. He has held academic roles including Associate Professor (Political Science and Economics) since 2010 and Assistant Professor roles at the University of Rochester and Yale University. His work bridges political science and economics, addressing topics like parliamentary systems, electoral competition, and institutional design. Education: PhD in Political Science (UCLA, 2000), MA in Political Science (UCLA, 1998), BA in Economics (AUEB, 1995). Research interests include dynamic legislative processes, strategic voting, and computational methods in political analysis. His recent articles explore equilibrium computation in bargaining models, minority government dynamics, and policy-making under uncertainty. He has advised multiple PhD students and contributed to conferences and journals globally. His teaching spans game theory, political institutions, and computational modeling. Service roles include organizing Wallis conferences, graduate admissions, and serving on search committees. He has held visiting fellowships and presented at institutions worldwide, including Caltech, Princeton, and the London School of Economics.
Professor Cristina Iannelli holds the Personal Chair of Education and Social Stratification at the University of Edinburgh’s Moray House School of Education and Sport, affiliated with the Institute for Education, Community & Society (IECS). She is a Fellow of the British Academy and the Academy of Social Sciences. Her research focuses on social stratification in education and labor markets, social mobility, youth transitions, and quantitative data analysis. She has led major international projects like the ESRC-funded ‘Understanding Inequalities’ (2017-2021) and previously co-directed the ESRC Applied Quantitative Methods Network (AQMeN). Key contributions include analyzing educational policies, intergenerational mobility, and curriculum impacts on inequality. Her educational background includes a PhD from the European University Institute (Florence) and prior roles as a Research Fellow at the University of Edinburgh. She has supervised 14 PhD students across topics like educational inequality, policy analysis, and labor market transitions. Awards include ESRC research fellowships for projects on educational structure and social mobility. Recent work highlights include analyzing sibling data to study intergenerational transmission of advantage, cross-country comparisons of STEM enrollment disparities, and the role of spatial job opportunities in labor market outcomes. She chairs the European Research Network on Transitions in Youth (TIY) and advises ESRC’s Data and Infrastructure Expert Group.
Professor Jiti Gao is a Donald Cochrane Chair in Econometrics & Business Statistics at Monash University's Faculty of Business and Economics. He leads the Department of Econometrics and Business Statistics, specializing in non- and semi-parametric econometrics, time-series analysis, and panel data methodologies. His research focuses on developing statistical models for climate change, energy demand, and financial forecasting. Affiliations: Monash University, Impact Labs Grants: Multiple ARC Discovery Projects (e.g., 2020–2025 on climate-energy time series, 2017–2020 on econometric model building) Collaborations: CSIRO, Yale University, and international partners from China, Norway, and Singapore Research interests include climate econometrics, financial time series, and policy evaluation. Over 136 publications span econometric theory and applications, with recent work on nonlinear trending models and quantile regression. His grants emphasize methodological advancements in time series and panel data analysis. Awards: Not explicitly mentioned, but recognition includes Australian Professorial Fellow status and international research leadership roles. Advising/Grants: Primary Investigator on multiple ARC-funded projects, focusing on climate modeling and financial econometrics Labs/Teams: Part of Monash's Impact Labs and collaborates with global institutions on climate and econometric initiatives
Geert Deconinck is a full professor at KU Leuven , leading the Electrical Energy Systems and Applications (ELECTA) research group within the Department of Electrical Engineering (ESAT). He also serves as scientific leader of the EnergyVille research center's algorithms domain, focusing on smart electrical networks and thermal systems. M.Sc. and Ph.D. from KU Leuven Head of ELECTA since 2012 (10 professors, 8 postdocs, 70+ PhDs) Over 8 million EUR research budget in last 5 years 44 completed PhDs and 10 current advisees IEEE Transactions editorial board member His research spans smart grid architectures , distributed control , and cyber-physical security , with recent focus on EV-grid integration , renewable energy democratization , and multi-carrier energy systems . Current projects include: Smart Charging - E-Mobility meets Renewable Energy Early Detection and Defense Systems for Smart Grids Open-source P2P energy sharing platforms Microgrid control strategies for PV-battery systems Awarded IET Fellow and IEEE Senior Member status, his work combines machine learning with power systems engineering through both theoretical modeling and experimental validation . He has contributed over 575 publications with 9800+ Google Scholar citations.
Tomila Lankina is a Professor of Politics and International Relations at the London School of Economics (LSE), specializing in democratization, popular protest, and Russian and Eastern European politics. She holds a DPhil from the University of Oxford and has held research appointments at institutions such as Stanford University and Humboldt University in Berlin. Her work examines historical legacies of social structure and their implications for democracy, inequality, and political regimes. Her groundbreaking book The Estate Origins of Democracy in Russia (Cambridge University Press, 2022) explores how pre-communist social stratification in Russia shapes contemporary political outcomes. The book has received major accolades, including the 2023 J. David Greenstone Prize and Davis Center Book Prize. Lankina’s research also addresses modern issues like Russian media manipulation, post-communist social resilience, and the impact of historical institutions on modern governance. Active in supporting Ukrainian scholars during Russia’s invasion of Ukraine, Lankina co-founded an LSE Taskforce to assist displaced students and researchers. She has been recognized for her excellence in PhD supervision by LSE and has published widely in top journals like the American Political Science Review and World Politics . Her interdisciplinary approach combines historical analysis with contemporary political dynamics, emphasizing the persistence of social hierarchies and their role in shaping autocracy and democracy. Current projects include a book on Russian dissent history and comparative studies of post-colonial and post-communist societies.
Prof. Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and Concurrent Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He holds a Dr.sc.techn. (Ph.D.) from ETH Zurich and has been at Notre Dame since 2000. His research focuses on stochastic geometry and wireless networks, including cellular, heterogeneous, vehicular, and millimeter-wave systems. He has held sabbaticals at UCSD (2007–2008), EPFL (2014–2015), and ETH Zurich (2021–2022). Education: Dipl.-Ing. (M.Sc.), ETH Zurich, 1995 Dr.sc.techn. (Ph.D.), ETH Zurich, 1999 Research interests emphasize stochastic geometry for analyzing network performance, including coverage, interference, and reliability in wireless systems. Key areas include meta distributions, spatial-temporal analysis, and network optimization. His work has been recognized with IEEE Fellow status, Clarivate Highly Cited Researcher distinction, and NSF CAREER Award (2005). Grants and Awards: NSF Award (Deep Stochastic Geometry: 2020–2023) NSF Award (Toward a Stochastic Geometry for Cellular Systems: 2015–2019) Rice Prize (2017), Best Survey Paper Award (2017), and Best Tutorial Paper Award (2010) from IEEE Communications Society Teaching includes advanced courses on stochastic geometry, wireless networks, and signal processing. His lab focuses on theoretical and applied aspects of network modeling, with collaborations in industry and academia.
Antonio A. Casilli is a Professor of Sociology at Télécom Paris (Institut Polytechnique de Paris) and a researcher at the Interdisciplinary Institute of Innovation (i3) . He is an associate member of LACI-IIAC (formerly the Edgar Morin Center) at EHESS and serves as a Faculty Fellow at the Nexa Center for Internet and Society (Polytechnic University of Turin) since 2018. Research Focus: Digital labor, platform economy, AI ethics, and the social implications of technology Awards: Prix Étoiles de la SCAM, Prix Meilleur Documentaire de l'Année (Bangkok), selected as Nature Journal Top Science Pick His work analyzes how digital platforms reshape labor dynamics, privacy norms, and social inequalities. Recent studies explore global AI data work, including fieldwork in Latin America, Africa, and Europe. He advocates for ethical frameworks recognizing human labor behind automation. Media Engagement: Regular contributor to France Culture , Le Monde , Wired , and Rue89 . Authored En attendant les robots (2019) and Schiavi del clic (2020), investigating hidden digital labor structures.
Professor Wolfgang Wüster is a Professor in Zoology (Molecular Ecology) at Bangor University's School of Environmental and Natural Sciences. His research focuses on evolutionary biology, snake systematics, and venom toxicology, using snakes as model systems. He teaches courses in zoology and herpetology, including Arizona fieldwork and advanced herpetology modules. Education: PhD in Systematics of Asian cobras from the University of Aberdeen (1990). His research interests include the evolution of venom composition, species delimitation in snake complexes, warning signals, biogeography, and conservation genomics. He supervises postgraduate students in topics like European viper conservation and snake systematics. Recent publications highlight his work on snake venoms, taxonomy, and the impacts of climate change on reptile species. He collaborates globally, contributing to antivenom efficacy studies and venom evolution research. Professor Wüster has been involved in projects such as genomic studies of adders and the phylogeography of vipers. His work bridges molecular ecology with conservation, emphasizing practical applications in biodiversity preservation.
Hazel Rose Markus is the Davis-Brack Professor in the Behavioral Sciences at Stanford University's Department of Psychology within the School of Humanities and Sciences. With a distinguished career spanning decades, she has made significant contributions to cultural psychology and the understanding of how social contexts shape self and behavior. Her work bridges academic research and practical application through her role as Faculty Director of Stanford SPARQ. Markus received her B.A. from California State University at San Diego and her Ph.D. from the University of Michigan in Psychology. Her educational background laid the foundation for her groundbreaking work in cultural psychology. Her research focuses on the role of self in regulating behavior and how the social world shapes the self. She investigates people as culturally-shaped shapers of their cultures, examining how nation or region of origin, gender, social class, race, ethnicity, religion, and occupation shape thought, feeling, and action. Her work spans multiple domains including education, healthcare, workplace environments, and social policy. Analysis of her recent publications reveals a consistent focus on cultural frameworks, particularly examining independence-interdependence cultural models. Her research increasingly addresses social inequality, educational disparities, and systemic bias through empirical studies and intervention development. She has pioneered the Culture Cycle Framework for understanding and changing cultural patterns that perpetuate inequality. Member of the National Academy of Sciences Member of the British Academy Fellow of the American Academy of Arts and Sciences American Psychological Association's Distinguished Scientific Contribution Award Donald T. Campbell Award from SPSP APS William James Award for lifetime achievement Markus actively mentors doctoral students and postdoctoral scholars, with current advisees including Leslie Remache, Enna Chen, Ayo Dada, and Efrain Garcia Sanchez. She teaches courses including Graduate Seminar in Social Psychology Research, Intergroup Communication Facilitation, and Mind, Culture, and Society. As Faculty Director of Stanford SPARQ, she leads initiatives that partner with industry leaders to tackle disparities and inspire culture change in criminal justice, economic mobility, education, and health. Her laboratory work focuses on cultural psychology, examining how cultural contexts shape cognition, emotion, and behavior across diverse populations. Through SPARQ, she connects academic research with real-world applications to address societal challenges.
Professor D Graham J Shipley is the Professor of Ancient History at the University of Leicester's School of Archaeology and Ancient History since 2002. His research focuses on Hellenistic and Classical antiquity, particularly on political landscapes, environmental studies, and urban planning. He holds a D.Litt. from the University of Oxford (2020) and is a Senior Fellow of the Higher Education Academy (2014). Education: Graduated in Classics from Oxford University. Academic roles include serving on the Oxford Classical Texts Committee and the UK Education Honours Committee. Previously chaired the Council of University Classical Departments and convened the Dorothy Buchan Memorial lectures. Research interests emphasize ancient geography, socio-political structures, and environmental interactions. His work spans studies of Sparta, Greek urban planning, and the cultural impact of Hellenistic expansion. Recent publications examine Pseudo-Skylax's geographical texts and post-Alexandrian political dynamics. Scientific Awards: Senior Fellow of the Higher Education Academy (2014) D.Litt. (Doctor of Letters) from University of Oxford (2020) Advising and Grants: No specific advisees listed, but supervises research in ancient history and archaeology. Active in collaborative projects such as the Laconia Survey. Grants have supported archaeological fieldwork and publication initiatives. Labs/Teams: Collaborates with the Oxford Classical Texts Committee and has led interdisciplinary teams in regional archaeological surveys.
Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.
Colleen Carey is an Associate Professor at the Jeb E. Brooks School of Public Policy, Cornell University. Her research focuses on the industrial organization of healthcare systems, particularly federal regulation of health insurance markets like Medicare and Medicaid. She examines topics such as reinsurance mechanisms, risk adjustment policies, and the impact of physician-industry financial relationships on prescribing behaviors. Carey is a Faculty Research Fellow at the National Bureau of Economic Research and previously held roles including Robert Wood Johnson Scholar in Health Policy Research and Staff Economist at the Council of Economic Advisers. Education: Bachelor’s Degree: Yale University Ph.D. in Economics: Johns Hopkins University Research Interests: Federal health insurance market design (e.g., ACA marketplaces) Adverse selection mitigation strategies in subsidized insurance Pharmaceutical industry practices and physician prescribing Opioid abuse policy evaluation Social Security Disability Insurance health outcomes Recent Work Trends: Her 2020-2025 publications emphasize healthcare policy evaluation, including analyses of Medicare Advantage enrollment dynamics, racial disparities in disability programs, and the effects of prescription drug marketing on clinical decisions. She consistently bridges economic theory with applied policy analysis. Scientific Awards and Roles: Editorial Board Member, American Journal of Health Economics Robert Wood Johnson Health Policy Research Scholar (2018-2020) NBER Faculty Research Fellow (ongoing) Advising and Grants: Though no formal advisees are listed, her research often involves collaborations with institutions like the Council of Economic Advisers and NBER. She contributes to policy discussions through evidence-based insights. Labs and Teams: Collaborates extensively with NBER’s Health Economics Group and maintains affiliations with Princeton’s Center for Health and Wellbeing.
Vishal Ahuja is an Associate Professor and Corrigan Research Professor at Southern Methodist University's Cox School of Business, with adjunct faculty status at University of Texas Southwestern Medical Center. He focuses on decision analytic tools for healthcare improvement through operations management. PhD, University of Chicago Booth School of Business MBA, University of Chicago Booth School of Business His research interests span healthcare operations, service optimization, and AI applications in clinical decision-making. He collaborates with the Department of Veterans Affairs, Parkland Hospital, and pediatric institutions to address care quality and delivery efficiency. Recent publications emphasize predictive modeling for chronic disease management, adaptive clinical trial design, and regulatory healthcare policy. Awards include the Dlin/Fischer Clinical Research Award (2021), INFORMS Pierskalla Award (2012), and 2025 AI75 recognition for Dallas-Fort Worth AI leadership. D CEO Excellence in Healthcare Award - Outstanding Healthcare Innovator (2023) NSF Game Changer Academies for Advancing Research Innovation (2022) C. Jackson Grayson Faculty Innovation Award (2022-23) At SMU, he teaches graduate courses in operations, supply chain, and service management, integrating corporate sector experience from chemical and consumer goods industries. His work has been cited by the FDA in safety labeling changes workshops.
Marianne Nordli Hansen is a Professor at the Department of Sociology and Human Geography , University of Oslo. With a career spanning decades, her research focuses on social stratification , class and inequality , labor market conditions , economic inequality , and elites . She has taught courses like Sociological Theory (SOS4001), Theory Specialization in Sociology (SOS4011), and Inequality: Class, Gender and Ethnicity (SOS4100). Education: MA in Sociology (University of Oslo, 1984), Dr. philos in Sociology (University of Oslo, 1996) Positions: Associate Professor (ISS, UiO, 1996), Professor (ISS, UiO, 1999) Her research explores wealth accumulation , intergenerational mobility , social networks , and educational policy . Key collaborators include Professor Olav Korsnes and Associate Professor Johannes Hjellbrekke at the University of Bergen. Current projects focus on social inequality in Norway , with publications analyzing elite professions, wealth distribution, and class-based educational disparities. She has contributed to significant works on Nordic welfare models and public sector impacts on segregation and equality.
Jiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University. He holds multiple affiliations including membership in Bio-X, Faculty Affiliate status at the Institute for Human-Centered Artificial Intelligence (HAI), and membership in both the Wu Tsai Human Performance Alliance and Wu Tsai Neurosciences Institute. Dr. Wu earned his Ph.D. and S.M. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology before joining Stanford. Dr. Wu's research program focuses on creating AI systems that understand and interact with the physical world through the integration of computer vision, machine learning, robotics, and cognitive science. His work emphasizes physics-based modeling combined with deep learning to develop systems capable of perceiving, reasoning about, and predicting physical interactions. Key research areas include 3D scene understanding, neurosymbolic AI approaches, multimodal perception (combining vision, sound, and language), and embodied intelligence for robotics applications. His lab develops novel frameworks that bridge the gap between neural networks and symbolic reasoning to create more interpretable and robust AI systems. Analysis of Dr. Wu's recent publications reveals a strong trajectory toward integrated multimodal understanding for embodied AI. His work increasingly combines vision, sound, and language processing with physical reasoning to create systems that can interact meaningfully with the physical world. There's a clear progression from foundational computer vision research toward practical robotics applications, with significant emphasis on foundation models for robotics, sim2real transfer techniques, and creating comprehensive datasets for embodied AI research. Dr. Wu's exceptional contributions have been recognized with numerous prestigious awards including the NSF CAREER award (2024), Young Investigator Programs from ONR (2024) and AFOSR (2023), the Okawa research grant (2024), and being named to IEEE Intelligent Systems' 'AI's 10 to Watch' (2024). He has received multiple best paper awards at leading conferences including ICRA (2024), SIGGRAPH Asia (2023), and CoRL (2023). Dr. Wu actively mentors a large cohort of students across multiple levels, serving as primary advisor for doctoral candidates, master's students, and numerous independent researchers. His research is supported by substantial funding from major technology companies including Google, Meta, Amazon, Samsung, and J.P. Morgan, as well as government agencies like NSF, ONR, and AFOSR, reflecting the significance and impact of his work in physical AI and multimodal perception systems. Dr. Wu leads a dynamic research group at Stanford that collaborates extensively with the Wu Tsai Neurosciences Institute and Institute for Human-Centered AI. Current projects include developing neurosymbolic models for computer graphics, creating multisensory datasets like OBJECTFOLDER 2.0 for sim2real transfer in robotics, and building foundation models for embodied intelligence that can understand and manipulate objects with human-like physical intuition.
