J. Anthony Movshon is a Professor at New York University (NYU) in the Department of Psychology and a key member of NYU's Center for Neural Science (CNS). His research focuses on the primate visual system, particularly the encoding and decoding of visual information in cortical areas like V1 and MT, and its role in behavior and perception. Education: Doctorate in Visual Neurophysiology and Psychophysics from Cambridge University Research Interests: Movshon investigates the functional architecture of the visual cortex, emphasizing motion, form, and color processing. His work explores how neural activity relates to perceptual decisions and motor behavior, using electrophysiological recordings, neuroimaging, and computational models. He also studies developmental disorders like amblyopia and their impact on visual system organization. Publications: His recent work spans visual texture selectivity in V2, contextual modulation in neural responses, motion processing in MT, and decoding mechanisms in visual cortex. These studies employ interdisciplinary approaches blending neurophysiology, computational neuroscience, and cognitive modeling. Labs & Collaborations: Movshon leads the Visual Neuroscience Laboratory at NYU, collaborating with researchers such as Michael Hawken, Lynne Kiorpes, and Eero Simoncelli.
Marek Pycia serves as Professor of Organizational Economics at the University of Zurich and Co-Director of the Zurich Center for Market Design. His research has driven tangible policy impacts including the U.S. kidney-transplant voucher program and school system redesigns, with publications in premier journals like American Economic Review and Econometrica . His academic foundation includes a Ph.D. in Economics from the Massachusetts Institute of Technology (MIT), complemented by prior faculty roles at UCLA, Pennsylvania State University, and Leon Koźmiński Academy of Entrepreneurship and Management, plus a visiting fellowship at Princeton University. Professor Pycia specializes in Market Design and Mechanism Design , where he bridges theoretical microeconomics with real-world applications in healthcare allocation and educational systems. His work emphasizes strategyproofness , simplicity , and efficiency in matching markets, influencing both academic frameworks and practical policy implementations globally. Recent publications (2024-2025) reveal a concentrated focus on simplifying mechanism design for discrete environments, advancing double auction theory, and optimizing information structures in trade. These works consistently apply game-theoretic principles to solve complex allocation problems across healthcare, education, and financial markets. Key recognition includes: Research Fellow at the Centre for Economic Policy Research (CEPR) Editorial board membership at Theoretical Economics , Journal of Economic Theory , and Games and Economic Behavior While specific grant details remain unmentioned, his editorial leadership and center directorship indicate active research funding. He supervises graduate work through the University of Zurich’s economics programs, though no named students appear in the source text. The Zurich Center for Market Design, which he co-directs, functions as an interdisciplinary hub connecting theoretical research with practitioners in healthcare, education, and public policy to implement novel market mechanisms.
John P. O'Doherty serves as the Fletcher Jones Professor of Decision Neuroscience within Caltech's Division of Humanities and Social Sciences, holding continuous faculty appointments since 2004 (Assistant Professor 2004-07, Associate Professor 2007-09, Professor 2009-present, Fletcher Jones Professor 2021-present). He previously directed the Caltech Brain Imaging Center (2013-17) and maintains affiliations with the T&C Chen Center for Social and Decision Neuroscience. His educational background includes a B.A. from University of Dublin, Trinity College (1996) and D.Phil. from University of Oxford (2000). His research focuses on computational and neural mechanisms of reward-based learning and decision-making , employing fMRI, intracranial recordings, and mathematical modeling to investigate how the brain solves complex decision problems through evolutionarily conserved algorithms. Key areas include Reinforcement learning systems (model-based/model-free arbitration) Observational and social learning mechanisms Neural representation of value, risk, and uncertainty Computational phenotyping of mental disorders Temporal dynamics of goal persistence Analysis of his 2023-2025 publications reveals dominant trends in computational psychiatry (problem gambling, autism traits), hierarchical decision-making, and neuroeconomic modeling of social behavior. His work consistently integrates cross-species computational frameworks with human neuroimaging to identify transdiagnostic mechanisms. While specific awards beyond his endowed professorship aren't detailed, his leadership as Brain Imaging Center Director and prolific high-impact publications demonstrate significant recognition. Current advising includes graduate researcher Sneha Aenugu on goal-persistence projects, with administrative support from Mary A. Martin (mmartin@caltech.edu). His active research program continues to pioneer computational approaches to understanding decision pathologies.
Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.
Jeff Moher is an Associate Professor of Psychology and Co-Chair of the Department of Psychology at Connecticut College, where he has been teaching since 2017. He also serves as the Data, Information, and Society Pathway Co-Coordinator, demonstrating his leadership within the institution. His educational background includes a Ph.D. and M.A. from Johns Hopkins University and a B.S. from the University of Michigan. This strong academic foundation has prepared him for his research and teaching career in cognitive psychology. Moher's research focuses on cognitive psychology and cognitive neuroscience, particularly visual attention and cognition in action. His work investigates why distractions occur, when they are likely to arise, and what mechanisms humans can harness to avoid them. He has found that humans employ various cognitive mechanisms to minimize distractions based on explicit knowledge, task goals, object properties, and recent experience, though he has also discovered surprising limitations in attentional selection. His research is particularly relevant given that over 3,000 people are killed annually in the United States from distracted driving. His recent publications show a consistent trajectory examining attentional mechanisms, distraction, and visual processing across different contexts. His work frequently employs sophisticated methodologies to measure both cognitive and motor responses to distractions, revealing how seemingly minor distractions can accumulate to induce serious performance costs. Moher's research is currently funded by grants from the National Science Foundation and the National Institutes of Health, indicating the significance and quality of his work. He likely mentors numerous students through the department's research groups, contributing to their development as researchers. He directs the CAMELab (Center for Attention, Movement, and Embodied Learning), which utilizes multiple methodologies including eye-tracking, electroencephalography, three-dimensional reach-tracking, and psychophysics to approach questions about attention and distraction. Current projects in his lab explore why salient distractors cause people to give up quickly during visual search, the brain mechanisms involved in learning to ignore distractions, how internal distractions impact physical interactions with the world, and how hand movement paths reveal information about attentional processes.
Abigail Scholer is a Professor specializing in self-regulation and motivation. Her research explores how motivational orientations influence decision-making, self-control conflicts, and adaptive change. She holds a BA from Gettysburg College and a PhD from Columbia University. Her work bridges educational, social, and cognitive psychology, with a focus on understanding the mechanisms behind human triumphs and failures in facing life's demands. Key research themes include metamotivational processes, goal pursuit dynamics, and the interplay between motivation and emotional regulation. Her lab, the Self-Regulation and Motivation Lab , investigates practical applications of these theories in academic and organizational settings. Publications span topics like motivational affordance, risk preferences, and the impact of threat on stereotyping. While no awards are listed, her contributions to motivational science are reflected in high-impact journals such as Journal of Personality and Social Psychology and Psychological Science . No advising or grant details are provided, though her lab's activities suggest active research participation.
Dr. Liam Mannion is a Senior Lecturer in Therapeutic Radiography and Oncology at City St George’s, University of London, where he leads key modules in radiotherapy techniques, oncology, and radiobiology. He is an HCPC-registered Therapeutic Radiographer with clinical experience in both NHS and private sectors. He also serves as the Practice Education Lead for Therapeutic Radiography and is a Senior Fellow of the Higher Education Academy. PhD, King's College London MSc, London South Bank University PGCert, City, University of London BSc (Hons), University College Dublin His research focuses on optimizing treatments for muscle-invasive bladder cancer, patient-centered care, and radiobiology. He employs methodologies such as discrete choice experiments to understand patient preferences in treatment decisions. His educational interests include gamification, debriefing, and student well-being in radiography training. His recent publications reveal a strong trend in patient-centered oncology research, particularly in bladder cancer decision-making, alongside innovations in radiotherapy education. He frequently collaborates with institutions like King's College London and Guy's and St Thomas' NHS Foundation Trust. Dr. Mannion is actively involved in peer review for the Journal of Radiotherapy in Practice and served as an External Examiner at Cardiff University. He has also held leadership roles such as Joint Programme Director at City, University of London. He has contributed to research on compassion fatigue among students, leadership in radiography during the pandemic, and functional imaging in glioblastoma. His work bridges clinical practice, education, and patient-centered outcomes. Dr. Mannion is affiliated with professional organizations including the Health and Care Professions Council (HCPC) and the Society of Radiographers. He teaches across undergraduate modules in radiotherapy and oncology, with a focus on practical and theoretical integration.
Douglas D. Ready is an Associate Professor of Education and Public Policy at Teachers College, Columbia University , where he serves as Director of the Consortium for Policy Research in Education (CPRE-TC). His research focuses on the intersections of education policy, social policy, and educational equity, particularly how policies influence socio-demographic disparities in cognitive development. Research Interests: Ready’s work examines the structural determinants of educational equity, including school choice architecture, personalized learning, early childhood education, and the impacts of technology on instruction. He has published extensively in journals such as Educational Evaluation and Policy Analysis and Sociology of Education . Editorial Roles: Ready contributes to the academic community as a member of the editorial boards of Educational Evaluation and Policy Analysis and American Educational Research Journal . Key Projects: He has led analyses of programs like Teach to One: Math and Pre-K for All , exploring their effects on student outcomes and equity.
Prof. Dr. Ralf Schindler is a Professor at the Institute for Mathematical Logic and Fundamental Research within the Department of Mathematics and Computer Science at the University of Münster. His primary research focuses on foundational aspects of mathematical logic, particularly in set theory and model theory. Schindler's research explores core areas including inner model theory, forcing techniques, large cardinals, determinacy axioms, and descriptive set theory. His investigations address fundamental questions about the structure of mathematical universes, consistency proofs, and connections between set theory and other mathematical disciplines. Recent work emphasizes applications of determinacy hypotheses and extensions of Martin's Maximum. Schindler's publications demonstrate consistent focus on advanced set theory concepts from 2000 to 2021. Key trends include deep investigations into inner models (especially core models and mouse constructions), forcing axioms and their consequences, determinacy hypotheses, and the interplay between large cardinals and descriptive set theory. His collaborative works frequently appear in premier logic journals. Schindler has received significant recognition for his contributions: Hausdorff Medal (2022) Dov Gabbay Prize (2024) He leads the research project EXC 2044 - A2: Groups, model theory and sets , which investigates applications of model theory to arithmetic geometry, topological dynamics, and group theory, while addressing fundamental questions in geometric group theory and set theory foundations.
Dr Sue Caton is a Senior Lecturer in the Department of Social Care and Social Work at Manchester Metropolitan University, within the Faculty of Health and Education. Her research focuses on social and health inequalities affecting people with intellectual disabilities, particularly digital inclusion, mental health medication decision-making, and pandemic impacts. She leads projects such as Digital Lifeline (NIHR-funded), Medications and My Mental Health (NIHR RfPB), and co-leads Our Digital Health (NIHR RfSC), emphasizing co-produced methodologies. Research Projects: Digital Lifeline: Evaluating tablet impact on social connections post-pandemic. Medications and My Mental Health: Empowering informed medication decisions for people with learning disabilities. Our Digital Health: Assessing digital health participation barriers. Key Expertise: Qualitative research, health inequalities, inclusive research design, and participatory methodologies. Her work addresses pandemic-related challenges faced by marginalized groups, including access to healthcare and social support. She has supervised four completed PhD students and currently mentors four PhD candidates exploring topics such as digital inclusion, animal-assisted interventions, and familial perspectives in parenting support. Dr Caton has led evaluations for initiatives like the Shared Lives 16+ project and the Us Too project on domestic abuse, demonstrating expertise in policy-informed research. Her contributions include over 50 peer-reviewed articles, focusing on digital participation, mental health, and pandemic resilience among people with intellectual disabilities. Awards: No specific scientific awards mentioned, though her work is funded by prestigious bodies like NIHR and UKRI. Labs/Teams: Collaborates with interdisciplinary teams including Dudley Voices for Choice, Liverpool John Moores University, and the Universities of Dundee, Warwick, and Birmingham City.
Dr. Carolyn Conner Seepersad is a Woodruff Professor in the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. She leads the Digital Design and Manufacturing research group and previously founded the Center for Additive Manufacturing and Design Innovation at The University of Texas at Austin. Her research focuses on additive manufacturing, materials design, and process innovation. She holds editorial roles, including Editor-in-Chief of the ASME Journal of Mechanical Design, and has received numerous awards for research and teaching. Education: PhD, Mechanical Engineering, Georgia Tech, 2004 MS, Mechanical Engineering, Georgia Tech, 2001 BA, Philosophy, Politics, and Economics, Oxford University, 1998 BS, Mechanical Engineering, West Virginia University, 1996 Her research interests span design for additive manufacturing, simulation-based materials and structures, and metamaterials. She emphasizes manufacturing-aware design and sustainability. Key contributions include lattice structure optimization, negative stiffness composites, and process-aware manufacturing techniques. Her publications reflect advancements in additive manufacturing processes, materials characterization, and design methodologies. Awards include the ASME Design Automation Award and recognition as a University of Texas System Academy of Distinguished Teachers. Seepersad has advised on grants such as the LEAP-HI GOALI project and contributed to initiatives like the Solid Freeform Fabrication Symposium. Her work bridges academia and industry, emphasizing practical applications and innovation. Labs/Teams: Leads the Digital Design and Manufacturing group at Georgia Tech, previously directed the UT Austin Additive Manufacturing Center.
Dr. Christina Allen is a Professor of Orthopaedics & Rehabilitation at Yale School of Medicine, where she serves as Chief of Yale Sports Medicine and Vice Chair of Athletic Medicine and Community Outreach. She is the Orthopaedic Team Physician for Yale Athletics and has extensive experience with U.S. national teams, including U.S. Soccer and USA Taekwondo. Education: BS in Biomedical Engineering, Duke University (1983); MD, UCLA School of Medicine (1995) Training: Orthopaedic Residency and Sports Medicine Fellowship, University of Pittsburgh Research Interests focus on: Revision ACL reconstruction outcomes and predictors Meniscus transplantation and cartilage repair Proximal hamstring avulsion repair Quantitative MRI for joint kinematics and cartilage changes Post-ACL revision infection risk factors Scientific Awards include: Kappa Delta Ann Doner Vaughn Award (2019) NIH R01 Competitive Renewal Grant (2017) AOSSM O’Donoghue Award (2014) Clinical Roles span: Team physician for U.S. Soccer (Women's/Men's National Teams) Former team physician for San Francisco Deltas (NASL Champions 2017) Medical Board member, World Taekwondo (London Olympics 2012, Rio Olympics 2016) Publications highlight a 20-year longitudinal focus on: Machine learning models for surgical outcome prediction Graft choice impact on revision ACL longevity Cartilage degeneration after meniscectomy Biomechanical MRI analysis of joint kinematics Infection rates in revision surgeries Return-to-sport protocols for athletes
Gil Kalai is a Professor of Mathematics at the Hebrew University of Jerusalem since 1992, where he holds the Henry and Manya Noskwith Chair. He also serves as an Adjunct Professor of Mathematics and Computer Science at Yale University since 2004 in a long-term part-time visiting position. His academic career includes visiting positions at prestigious institutions including MIT, Cornell, IAS Princeton, Berkeley, Bell-labs, IBM, and Microsoft. Professor Kalai's research spans multiple areas within mathematics and theoretical computer science. His work in combinatorics encompasses geometric, probabilistic, and topological approaches. He has made significant contributions to the study of convex sets and polytopes, linear programming, and theoretical computer science. His influential 1988 paper with Kahn and Linial on Boolean functions pioneered applications of Fourier analysis in theoretical computer science. Kalai's research has evolved to include the application of Fourier analysis to thresholds, influences, symmetries, noise, percolation, and social choice. He has developed theories in algebraic shifting and studied face-numbers and other combinatorial invariants of polytopes. His work on the diameter of polytopes and randomized simplex algorithms has been influential in optimization theory. In 1993, his collaboration with Kahn produced a groundbreaking counterexample to Borsuk's Conjecture in 1325 dimensions. Professor Kalai's publications reveal a consistent focus on the intersection of combinatorics, geometry, and theoretical computer science. His work shows a progression from foundational combinatorial geometry to increasingly sophisticated applications of harmonic analysis in discrete mathematics. The recurring themes across his 30+ year career include Boolean functions, polytope theory, and probabilistic methods in combinatorics, demonstrating remarkable coherence in his research trajectory. 2016 European congress of Mathematics, plenary speaker 2013 ERC advanced grant 2012 Rothschild Prize 1994 International Congress of Mathematicians invited section talk, Zurich 1994 Fulkerson Prize 1993 Erdos Prize 1992 Polya Prize Though specific details of his advising are not provided in the source material, Kalai has written over 70 scientific papers and maintains an active research blog entitled "Combinatorics and More." His 2013 ERC advanced grant indicates significant research funding for his work. His extensive collaborations with researchers across multiple institutions suggest a robust research program with numerous PhD students and postdoctoral researchers, though specific names are not mentioned in the provided texts. Professor Kalai maintains active research connections across multiple institutions including Hebrew University, Yale, and various research centers worldwide. His work bridges pure mathematics and theoretical computer science, creating a unique interdisciplinary research environment that influences both fields.
Susan Hughes, Ph.D., is a Professor of Psychology and Director of the Evolutionary Studies Program at Albright College. She holds a B.S. in Psychobiology from Binghamton University and a Ph.D. in Biopsychology from the University at Albany, SUNY. Her work bridges evolutionary psychology, biopsychology, and the study of human mating strategies. She explores how voice characteristics convey social, biological, and behavioral information, including attractiveness, mate selection, and sexual behavior. Her research also examines facial/body measures in attraction, female preferences for resources, and sexual orientation from an evolutionary lens. Education: B.S. Psychobiology, Binghamton University, SUNY Ph.D. Biopsychology, University at Albany, SUNY Research Interests: Evolutionary Psychology: Human mating strategies, sex differences, and ancestral adaptations Voice Analysis: Vocal attractiveness, manipulation, and its role in social perception Mating/Sexual Behaviors: Post-coital behaviors, jealousy, and physical markers of fitness Labs/Teams: Directs the Evolutionary Studies Program, fostering interdisciplinary research on evolutionary principles. Collaborates with colleagues on studies of vocal perception and behavioral ecology. Grants/Awards: None explicitly listed. Teaching: Teaches courses including Evolutionary Psychology, Human Sexuality, and Psychobiology. Engages students in research labs and fieldwork.
Warut Suksompong is an Assistant Professor in the School of Computing at the National University of Singapore (NUS), where he holds the NUS Presidential Young Professorship. Previously, he was a postdoctoral researcher at the University of Oxford, hosted by Edith Elkind, and completed his PhD at Stanford University under Tim Roughgarden. He holds bachelor's and master's degrees from MIT. His research focuses on algorithmic game theory, computational social choice, mechanism design, and interdisciplinary problems at the intersection of computer science, economics, mathematics, and operations research. He is particularly known for contributions to fair division, including envy-freeness, proportionality, and maximin fairness in both divisible and indivisible resource allocation contexts. Key awards include the IJCAI 2021 Distinguished Paper Award for work on dividing land with geometric constraints and the WINE 2021 Best Student Paper Award for research on funding public projects via the Nash product rule. His work bridges theoretical foundations with practical applications, addressing challenges such as connectivity constraints, budget allocation, and social choice mechanisms. He has authored over 100 publications in top conferences and journals, including SIAM Journal on Discrete Mathematics, Artificial Intelligence, and Games and Economic Behavior. His research has been supported by grants from NUS and international collaborations.
