Stefanos Zenios is Professor at Stanford Graduate School of Business with dual appointments in Entrepreneurship and Operations, Information & Technology . He directs Stanford GSB’s Center for Entrepreneurial Studies and co-directs the Doerr School of Sustainability ’s Program in Ecopreneurship. His Startup Garage course has launched companies like DoorDash while alumni have raised over $3B in venture capital. He co-authored the foundational Biodesign textbook and previously served as Editor-in-Chief of Operations Research . PhD, MIT Operations Research (1996) MA, University of Cambridge (1996) BA, University of Cambridge (1992) Research Focus Dr. Zenios’ work bridges operations research and innovation management , with significant contributions to: Healthcare operations : Administrative cost reduction, organ allocation optimization, and clinical workflow improvements Entrepreneurship : Venture creation frameworks and experiential education Ecopreneurship : Sustainable business model innovation His Precedents Thinking framework (HBR 2025) has gained global recognition for solving systemic inefficiencies. Current research includes the biennial Search Fund Study with Peter Kelly. Scientific Recognition INFORMS Fellow Multiple Best Paper Awards, INFORMS CAREER Award, National Science Foundation (2000) Dhirubhai Ambani Faculty Fellow (2017–2020) George E. Nicholson Award (1997) He has received extensive media coverage in Fast Company , Time Magazine , and Stanford Business . His research has been featured in over 150 press mentions including JAMA , Harvard Business Review , and Health Affairs .
Karen Piper Hanley is Professor of Molecular Medicine and Head of Division in the Division of Diabetes, Endocrinology & Gastroenterology at the University of Manchester. She serves as the fibrosis lead in the Wellcome Trust Centre for Cell-Matrix Research and previously served as Director of Core Research Technologies (2019-2022). She is also an editorial board member for Scientific Reports. Her research focuses on fibrosis (scarring) mechanisms across multiple organs, particularly liver, kidney, and lung fibrosis. Her lab investigates the cellular and molecular basis of fibrotic disease, with emphasis on how pathological scar components are produced and how they signal to surrounding cells. Key areas include the role of SOX9 transcription factor, integrin beta-1 signaling, Group 1 PAKs, and YAP1 in fibrosis progression. Her recent publications reveal trends toward increased clinical translation of fibrosis research, with studies on health inequalities in liver cancer care, post-COVID diabetes incidence, and innovative approaches to liver disease detection. Her work increasingly integrates spatial transcriptomics and advanced omics technologies to understand cellular transitions in liver disease. Career-track postdoctoral fellowship from the University of Southampton (2006) As senior postgraduate tutor, she has mentored numerous PhD students who have presented at key conferences and authored high-quality manuscripts. All her PhD students have submitted and been awarded their degrees within 4 years. She has successfully guided previous Academic Clinical Fellows to win MRC clinical training fellowships. Her teaching extends to undergraduate Personal & Professional Development and supervision of MRes and BSc students, many of whom have achieved first-class degrees and prestigious awards. Her lab maintains active collaborations with Professor Neil Hanley's group on human development, stem cells, and regenerative medicine, bridging developmental biology with fibrosis research to understand why regeneration is impaired in chronic diseases.
Mersema Abate, MD, MPH is an Associate Professor in the Department of Medicine and Science Education at the Zucker School of Medicine at Hofstra/Northwell. She also serves as Director of Advanced Clinical Experience at Northwell Health. Her research focuses on kidney transplantation outcomes, health disparities, and post-transplant glycemic control. She has published extensively on topics such as racial inequities in kidney transplant eligibility, electrolyte abnormalities in critically ill patients, and the impact of comorbidities on transplant success. Her work has been cited over 1,000 times, with notable contributions to understanding the role of race in clinical algorithms and managing infections in immunocompromised patients. Research Interests: Optimizing post-transplant metabolic control Addressing systemic disparities in organ transplantation Multimodal approaches to kidney failure management COVID-19's impact on renal and transplant medicine Publications: Her 70+ articles span peer-reviewed journals like Clinical Transplantation and Journal of the American Society of Nephrology , focusing on clinical nephrology and transplant medicine. Recent work emphasizes implementation of continuous glucose monitoring systems and re-evaluation of race-based clinical metrics. Grants/Advising: No formal grants or student advisees are currently listed in her profile.
Dr. Harwin de Vries is an Associate Professor at the Department of Technology and Operations Management, Rotterdam School of Management (RSM), Erasmus University Rotterdam. His research focuses on health and humanitarian logistics, particularly disaster relief logistics and improving access to essential medicines in low- and middle-income countries (LMICs). He explores the role of data analytics and new operational models in healthcare systems, such as mobile health service delivery. Before joining RSM, he worked at INSEAD as a postdoctoral researcher and manager of the INSEAD Humanitarian Research Group. He holds a PhD in Operations Research from Erasmus University. Education: PhD in Operations Research, Erasmus University Rotterdam His research interests include optimizing supply chain decisions in humanitarian contexts, with over 20 collaborations with health organizations. He teaches courses on Health & Humanitarian Logistics, Business Analytics, and Spreadsheet Modelling across BSc, MSc, and EMBA programs. Dr. de Vries has received notable awards including the 2021 ERIM Award for Young Researcher and a 2022 NWO VENI Grant. His work has been published in leading journals like Production and Operations Management and Manufacturing & Service Operations Management, and has been transformed into teaching cases. Grants: NWO VENI Grant (2022) He serves on the board of the POMS College of Humanitarian Operations & Crisis Management, actively contributing to academic and practical solutions in humanitarian logistics.
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.
Golnoosh Farnadi is an Assistant Professor at McGill University's School of Computer Science and an Adjunct Professor at the University of Montréal. She serves as a Visiting Faculty Researcher at Google, a Core Academic Member at MILA (Quebec Institute for Learning Algorithms), and holds a prestigious Canada CIFAR AI Chair. Farnadi co-directs McGill's Collaborative for AI & Society (McCAIS) and founded the EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on advancing algorithmic fairness and responsible AI. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), with postdoctoral research at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). During her doctoral studies, she was a visiting scholar at UCLA, University of Washington, Tsinghua University, and Microsoft Research. Dr. Farnadi's research centers on developing mathematical tools and algorithms for fairness-aware machine learning systems. Her work addresses bias and discrimination in AI decision-making across critical domains including healthcare, criminal justice, financial services, and social media. She has pioneered approaches to ensure fairness in deep learning models, particularly in sequential decision-making under uncertainty. Her research bridges theoretical foundations with practical applications, examining how AI systems can be designed to promote equity while maintaining performance. Analysis of her recent publications reveals a strong focus on practical implementations of fairness mechanisms across diverse AI applications. Her work spans technical domains from generative models and large language models to recommender systems and healthcare optimization. A unifying theme is the development of mathematically rigorous frameworks that balance performance with fairness considerations, with increasing attention to cultural diversity in multilingual AI systems and privacy-preserving fairness approaches. Google Scholar Award (2021) Facebook Research Award (2021) Rising Stars in AI Ethics (2021) Google Award for Inclusion Research (2023) WAI Responsible AI Leader of the Year Finalist (2023) 100 Brilliant Women in AI Ethics (2023) Canada CIFAR AI Chair Dr. Farnadi advises numerous doctoral and master's students across McGill University, University of Montréal, and MILA, with research focusing on fairness, privacy, and responsible AI. Her EQUAL Lab brings together researchers from computer science, social sciences, and policy domains to address systemic challenges in AI ethics. She has secured significant research funding from Google and other major organizations to support her work on fairness-aware AI systems, with applications spanning healthcare, social media safety, and public policy. The EQUAL Lab serves as a hub for interdisciplinary research on algorithmic fairness, bringing together computer scientists, social scientists, and policy experts. The lab's work spans theoretical foundations of fairness metrics, practical implementations in real-world systems, and policy recommendations for responsible AI deployment. Current projects include developing frameworks for fair kidney exchange programs, mitigating cultural stereotypes in multilingual language models, and creating privacy-preserving approaches for detecting online harms while protecting user data.
Golnoosh Farnadi is an Associate Professor at the Department of Computer Science and Operational Research at the University of Montreal and an Assistant Professor at the School of Computer Science at McGill University. She holds a Canada-CIFAR Chair in Artificial Intelligence and serves as a Senior Academic Member at Mila - Quebec Institute for Artificial Intelligence. Her interdisciplinary work bridges computer science, operations research, and ethical AI considerations. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), followed by postdoctoral positions at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). Her research focuses on algorithmic fairness, responsible AI, deep learning, and probabilistic models, with applications spanning healthcare, recommender systems, and public policy. Farnadi's recent publications demonstrate a strong emphasis on addressing fairness in machine learning systems, with particular attention to cultural diversity in recommender systems, fairness in healthcare optimization (particularly kidney exchange programs), and mitigating hallucinations in large language models. Her work consistently combines theoretical rigor with practical applications, often employing novel mathematical frameworks to tackle complex ethical challenges in AI. Among her notable recognitions are the Google Scholar Award (2021), Facebook Research Award (2021), Google Award for Inclusion Research (2023), and being named one of the 100 Brilliant Women in AI Ethics (2023). She was also recognized as a Rising Star in AI Ethics in 2021. Farnadi supervises numerous graduate students through her EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on developing AI systems that promote fairness and equity. Her teaching includes courses on Responsible AI, Machine Learning, and Trustworthy Machine Learning at both McGill University and HEC Montreal.
Baris Ata is the Sigmund E. Edelstone Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business. His work bridges theoretical operations management with practical applications, focusing on dynamic decision-making under uncertainty. Research Interests Ata’s research spans stochastic networks, manufacturing/service operations, healthcare delivery, and social sector innovation. Recent projects address high-dimensional stochastic control, xenotransplantation candidate selection, criminal justice logistics, and last-mile delivery challenges in Africa. Scientific Awards Best Paper in Service Science Award, INFORMS (2009) William Pierskalla Best Paper Award, INFORMS (2015) Wickham Skinner Best Paper Award, POMS (2019) Manufacturing and Service Operations Management Young Scholar Prize, INFORMS (2015) Emory Williams MBA Teaching Award (2021) Recent Publications Ata’s recent work includes topics in dynamic pricing, stochastic control, and healthcare logistics. His papers examine congestion-based pricing strategies, equilibrium analysis in queues, and policy design for organ transplantation. Broad disciplines include operations management, stochastic modeling, and healthcare analytics.
Marshall J. Glesby is a Professor at Weill Cornell Medical College, affiliated with both the Department of Medicine and Population Health Sciences. His career spans over three decades, focusing on HIV pathogenesis, aging-related complications, and co-infections. He holds a Ph.D. from Johns Hopkins University School of Hygiene and Public Health (1997), an M.D. from Johns Hopkins University School of Medicine (1989), and a B.Sc. from McGill University (1985). Research Interests: His work integrates HIV, immunology, and public health, emphasizing co-infections, metabolic disorders, and cardiovascular complications. Recent studies explore geriatric syndromes, epigenetic aging, and biomarkers like extracellular vesicles in Long COVID and Alzheimer's disease. He leads clinical trials on Mpox severity scoring and HIV-kidney transplantation. Grants and Collaborations: Dr. Glesby is a key investigator for NIH-funded projects, including PORTENT (NIAID) and STRIVE (NIAID). He contributes to global HIV research networks like INSIGHT and ACTG, with subawards from the National Institute of Child Health & Human Development and NHLBI. External Relationships: He serves as a consultant for UpToDate, Inc., and collaborates with organizations such as the Northeast/Caribbean AIDS Education and Training Centers.
Fabian J. Sting is a Full Professor and Director of the Department of Supply Chain Management - Strategy and Innovation at the University of Cologne since 2016. He also holds a tenured Associate Professorship in Operations Management at the Rotterdam School of Management, Erasmus University since 2014. His academic journey includes a Ph.D. in Productions Management (summa cum laude) from WHU-Otto Beisheim School of Management in 2008 and postdoctoral work at INSEAD in 2008–2010. University of Cologne : Chair of Supply Chain Strategy and Innovation (2016–present) Rotterdam School of Management : Associate Professor (2014–present), Assistant Professor (2010–2014) Education : Ph.D. (2005–2008), M.Sc. in Applied Mathematics (2005–2007), Diploma in Management Science (2002–2005) Sting’s research bridges operations management, innovation strategy, and supply chain dynamics. Key areas include: Supply chain coordination under uncertainty Employee-driven process innovation and cognitive biases Strategic capacity planning and risk hedging Industry 4.0 implementation challenges Interdisciplinary integration of behavioral and technical elements in operations Recent publications focus on dual sourcing strategies, fairness in operational decisions, and employee mobility’s impact on innovation. He contributes to high-impact journals like Management Science and Production and Operations Management . Sting participates in institutional research initiatives such as: ECONtribute: Markets & Public Policy – a Cluster of Excellence addressing digital transformation, inequality, and market failures through interdisciplinary economics, political science, and law Excellent Research Support Programme (ERSP) – supporting collaborative projects like HPDnet (improving pediatric kidney disease care via health networks)
Thayer Morrill is a Professor of Economics at North Carolina State University, holding a position in the Department of Economics. He earned his Ph.D. from the University of Maryland in 2008 and specializes in Market Design, School Assignment, and Auction Theory. He actively contributes to the Economics Graduate Program and teaches EC 468, a Game Theory course with comprehensive self-developed materials. Education: Ph.D. in Economics, University of Maryland, 2008 Professor Morrill's research centers on Market Design applications in school choice and auction theory, developing novel mechanisms for efficient and fair resource allocation. His work bridges theoretical game theory with empirical analysis, examining strategic behavior in school assignment systems, kidney exchange programs, and procurement auctions. Key methodological contributions include characterizations of matching algorithms like Top Trading Cycles and Deferred Acceptance. His publication history (2010-2022) reveals consistent focus on matching theory and market design across leading journals including Journal of Economic Theory and American Economic Journal. Recent work analyzes ranking mechanisms in competitive processes (2022), while earlier research established foundational characterizations of matching algorithms. His interdisciplinary approach connects theoretical rigor with real-world applications in education and healthcare markets. Scientific Awards: No awards listed Advising and Grants: The provided documentation contains no details regarding student advising activities or grant funding. His research collaborations include prominent economists such as Umut Dur, Pete Troyan, and Robert Hammond across multiple publications.
Mohsen Malekinejad is an Associate Professor at the University of California, San Francisco (UCSF) School of Medicine and serves as the director of the Center for Resilient Societies and Technology (CREST) . He is a core member of the RESILIENT network at the University of California system, focusing on pandemic intelligence and community resilience. His career spans 20 years of public health experience with expertise in evidence-based medicine, systematic reviews, and translating research into policy. Education: DrPH (UC Berkeley, 2008), MPH (UC Davis, 2003), MD (Tehran Azad University, 1999), Postdoctoral Studies (UCSF, 2009) Dr. Malekinejad's research addresses health disparities among marginalized populations globally, focusing on substance use disorders, HIV/HCV, and pandemic response strategies . His work includes methodological innovations for sampling hard-to-reach groups (e.g., homeless populations, drug users) and economic evaluations of public health interventions . Recent publications highlight systematic reviews on topics like COVID-19 exposure notification systems, TB testing cascades, and HIV risk behaviors . His methodological strengths include respondent-driven sampling, meta-analysis, and health equity frameworks. He has led major projects funded by NIH, CDC, and WHO, including the California Department of Public Health's COVID-19 Exposure Notification system implementation. Dr. Malekinejad also maintains an active role in graduate-level public health education and collaborates across disciplines to strengthen translational research.
Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He previously held postdoctoral positions at the University of Toronto and completed his PhD at Carnegie Mellon University under the supervision of Ariel Procaccia, focusing on computational social choice. PhD, Computer Science, Carnegie Mellon University Undergraduate degree, Computer Science, Harvard College His research explores the intersection of computer science and democracy, developing frameworks like virtual democracy and liquid democracy while analyzing fairness in participatory budgeting and voting systems. He combines theoretical analysis with empirical methods, emphasizing interdisciplinary collaboration. Recent work includes advancements in ranked choice voting optimization, fairness metrics for elections, and structural analysis in cryo-electron tomography. He has published in top venues such as IJCAI, AAAI, NeurIPS, and ACM Transactions on Economics and Computation. NeurIPS 2019 Spotlight Presentation (top 2.5% of submissions) Kahng advises PhD students Alina Chadwick and Joe Saber, and has mentored multiple undergraduate researchers. He teaches courses on algorithmic game theory and computational statistics at the University of Rochester.
Professor Maria Eriksdotter is a leading academic in geriatrics and dementia research at the Karolinska Institutet , holding the Department of Neurobiology, Care Sciences and Society . She also serves as a Senior Consultant in Themes Inflammation and Ageing at Karolinska University Hospital Huddinge and previously as Dean of KI South (2019–2023). Her work spans translational research, clinical trials, and national registry development, with a focus on Alzheimer's disease, cholinergic therapies, and aging. Her research group pioneered NGF cell therapy for Alzheimer's patients, demonstrating safety and cognitive stabilization in clinical trials. She chairs the SveDem registry , tracking over 100,000 dementia patients to refine diagnostics and care. Studies from SveDem revealed mortality reduction with cholinesterase inhibitors and highlighted pandemic-era diagnostic delays. Recent publications analyze dementia subtypes , comorbidities , and precision medicine in neurodegeneration. Her work intersects neuroimaging , epidemiology , and public health policy , addressing ageism and improving geriatric care systems. Collaborations span Karolinska University Hospital , NSGene Inc , and international institutions.
Alton Russell is an Assistant Professor at the Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University. He serves as an Affiliate Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) and is affiliated with the Quantitative Life Sciences program. His research focuses on data-driven decision modeling to optimize healthcare resource allocation through methods in decision analysis, simulation, health economics, and machine learning. PhD in Management Science and Engineering (2021), Stanford University MSc in Management Science and Engineering (2018), Stanford University BSc in Industrial Engineering (Health Systems concentration) and Interdisciplinary Studies (Global Health and Sustainability concentration) (2014), North Carolina State University Russell's research program develops advanced models for blood safety, pediatric kidney disease management, opioid crisis interventions, and infectious disease surveillance. His lab (D3Mod) integrates individual-level data with machine learning and Bayesian statistics to address heterogeneity in patient populations and policy impacts. His work emphasizes open science practices, with publications and code archived via DOIs. Current research themes include personalized donor risk assessment, emergency service optimization, and harmonization of serosurveillance data. Russell teaches advanced decision modeling (EPIB 676) and economic evaluation of health programs (PPHS 528) at McGill.
