Find Academic Supervisors

Yee Whye TehView profile

Professor

• Statistical Machine Learning
• Probabilistic Learning
• Deep Learning
• +4 more

Yee Whye Teh is a Professor at the Department of Statistics, University of Oxford, and a research scientist at DeepMind. His work focuses on statistical machine learning, including probabilistic learning, Bayesian nonparametrics, deep learning, and Monte Carlo methods. He co-directs the ELLIS programme on Robust Machine Learning and has held roles such as Programme Co-chair for ICML 2017. Teh has delivered keynotes at UAI 2019, an IMS Medallion Lecture at JSM 2019, and the Breiman Lecture in 2017. His research emphasizes scalable inference algorithms, hierarchical models, and applications in genetics and natural language processing. Teh's educational background includes a PhD from the University of Toronto (2003) and a Master's from the same institution (2000). He has contributed to widely used software tools like the Sequence Memoizer and has been recognized for his work through prestigious lectureships. Research interests span Bayesian nonparametric models, MCMC methods, and their applications in genetics and data compression. His lab collaborates on projects like fragmentation-coagulation processes for genetic variation modeling and Mondrian forests for online learning. Teh advises students through Oxford's graduate programs, though he notes high demand for mentorship. His work often bridges theory and practice, addressing challenges in big data learning and small data problems.

Ariel PakesView profile

Professor

• Econometrics
• Industrial Organization
• Economics of Technological Change
• +3 more

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.'

Paul GölzView profile

Assistant Professor

• Social Choice Theory
• Algorithmic Fairness
• AI Ethics
• +3 more

Paul Gölz is an Assistant Professor at Cornell University's School of Operations Research and Information Engineering (ORIE), with affiliations in Computer Science. His research focuses on computational social choice, algorithmic fairness, and AI ethics, addressing topics like democratic innovation, fair resource allocation, and AI systems for diverse users. Education: Undergraduate studies at Saarland University (Germany), PhD in Computer Science from Carnegie Mellon University, followed by postdoctoral research at Harvard University, UC Berkeley, and the Simons Laufer Mathematical Sciences Institute. His work has been recognized with awards including the JPMorgan Chase AI Research Fellowship (2021) and honorable mentions for prestigious dissertation awards (Dantzig and ACM SIGecom). Research Highlights : Developed Panelot, a tool for selecting citizens' assemblies using state-of-the-art algorithms. His work on fair refugee resettlement and apportionment methods has been featured in Operations Research and Nature . Recent projects include AI alignment distortion analysis and generative social choice mechanisms. Teaching : Teaches Optimized Democracy (Spring 2025) and Mathematical Programming (Fall 2024). Supervises PhD students in ORIE, focusing on interdisciplinary applications of optimization and social choice. Awards & Grants : Received a $40K Structural Democracy Fellowship (Crankstart) and an OpenAI grant for Democratic Inputs to AI. Active in policy briefs (e.g., mini-public selection strategies). Labs/Tools : Co-developed Panelot.org , a nonprofit platform for fair citizen assembly selection. Active in open-source tool development for social choice applications.

• Operations Research
• Supply Chain Management
• Inventory Theory
• +4 more

Teo Chung Piaw is the Stephen Riady Professor and Executive Director of the Institute of Operations Research and Analytics (IORA) at the National University of Singapore (NUS). He holds a PhD in Operations Research from MIT (1996) and has held academic positions including Head of Department and Acting Deputy Dean at NUS Business School. His research focuses on optimization under uncertainty, supply chain management, and combinatorial optimization. He serves as a department editor for Management Science and has led strategic initiatives in Singapore's Smart Nation Program. Teo's educational journey includes a Bachelor of Science (Honors) in Mathematics from NUS (1990). His corporate experience spans roles at Unilever, Hewlett Packard, and PSA International. He has received prestigious awards including the NUS Faculty Outstanding Researcher Award (2003, 2006) and has been a Fellow of the Singapore-MIT Alliance Program. His research addresses operational challenges in smart cities, healthcare scheduling, and supply chain resilience. Notable contributions include work on appointment scheduling under patient no-show behavior, disruption risk mitigation in supply chains, and flexible production network design. He has authored over 100 publications and serves on editorial boards of leading journals like Operations Research and Management Science .

Eric V. MazumdarView profile

Assistant Professor

• Machine Learning
• Economics
• Optimization
• +4 more

Eric V. Mazumdar is an Assistant Professor at the California Institute of Technology (Caltech), jointly appointed in the departments of Computing and Mathematical Sciences and Economics. He holds a B.S. from MIT (2015) and a Ph.D. from UC Berkeley (2021), co-advised by Michael Jordan and Shankar Sastry. His research bridges machine learning and economics, focusing on deploying algorithms into societal systems through theoretical and practical lenses. Key areas include strategic classification, multi-agent reinforcement learning, and distributionally robust optimization, with applications in healthcare, online markets, and intelligent infrastructure. Education: B.S., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2015 Ph.D., Electrical Engineering and Computer Science, University of California, Berkeley, 2021 Research Interests: Mazumdar’s work emphasizes understanding learning algorithms in strategic environments, including min-max optimization, game theory, and multi-agent systems. He explores how algorithms interact with human and algorithmic agents in dynamic systems, with practical applications in healthcare delivery, e-commerce, and autonomous systems testing. Awards: NSF CAREER Award (2023) Simons Institute Research Fellowship in Learning in Games Grants & Funding: Supported by NSF, DARPA, Amazon, and other organizations. His NSF CAREER grant focuses on strategic interactions in societal-scale systems. Teaching: Courses include Networks: Structure & Economics (CMS/CS/EE/IDS 144) and Topics in Learning and Games (CMS/Ec 248). At UC Berkeley, he contributed to courses like Data, Inference, and Decisions (DS 102). Students & Postdocs: Current students: Lauren Conger, Tinashe Handina, Yizhou Zhang Postdocs: Zaiwei Chen, Laixi Shi, Kishan Panaganti (co-advised with Adam Wierman)

Moshe E. Ben-AkivaView profile

Professor

• Transportation Systems Analysis
• Intelligent Transportation Systems
• Demand Modeling
• +6 more

Moshe E. Ben-Akiva is the Edmund K Turner Professor at the Massachusetts Institute of Technology (MIT), affiliated with the School of Engineering and the Department of Civil and Environmental Engineering. He holds a B.S. from Technion-Israel Institute of Technology (1968), and M.S. and Ph.D. degrees in transportation systems from MIT (1971, 1973). His research focuses on transportation systems analysis, intelligent transportation systems, demand modeling, econometrics, and infrastructure management. He has been recognized with prestigious awards, including election to the National Academy of Engineering (2025) for contributions to transportation systems modeling and demand analysis. His work spans theoretical and applied domains, including agent-based microsimulation for freight logistics, tradable credit schemes for congestion management, and behavioral dimensions of transport decarbonization. Ben-Akiva collaborates with industry and policymakers to design sustainable mobility solutions. His notable publications include foundational texts on discrete choice analysis and stated preference elicitation. He advises on transportation policy, urban planning, and emerging mobility technologies such as automated vehicles and urban air mobility. Current research explores impacts of automated mobility-on-demand systems, real-time tolling strategies, and e-commerce delivery demand modeling. His team develops tools like SimMobility Freight, an agent-based urban freight simulator. He remains active in teaching, focusing on demand modeling and econometrics courses at MIT.

John B. TaylorView profile

Professor

• Macroeconomics
• Monetary Economics
• International Economics
• +3 more

John B. Taylor is the Mary and Robert Raymond Professor of Economics at Stanford University and the George P. Shultz Senior Fellow in Economics at the Hoover Institution. He directs the Stanford Introductory Economics Center and has held leadership roles at the Stanford Institute for Economic Policy Research (SIEPR). His academic expertise spans macroeconomics, monetary economics, and international economics, with a focus on policy frameworks and central banking. **Education**: Taylor earned a B.A. in Economics from Princeton University (1968) and a Ph.D. in Economics from Stanford University (1973). He previously taught at Princeton, Columbia, and Yale Universities. **Research Interests**: Taylor’s work emphasizes the foundations of monetary policy, including the Taylor Rule and its global applications. He examines policy responses to crises, inflation targeting, and the role of rules in stabilizing economies. His research integrates theoretical models with real-world policy analysis, addressing topics like financial regulation, fiscal activism, and international coordination. **Awards**: Taylor has received prestigious honors such as the Bradley Prize, Adam Smith Award, and Guggenheim Fellowship. Notable awards include the Alexander Hamilton Award for leadership in international finance and the Hoagland Prize for teaching excellence. **Advising & Grants**: Taylor has advised governments and institutions globally, including the U.S. Treasury, the Federal Reserve, and the OECD. His advisory roles include membership in the President’s Council of Economic Advisers and California’s Governor’s Council. His work often focuses on policy design and crisis management. **Labs/Teams**: Taylor leads initiatives at SIEPR and the Hoover Institution, fostering collaborations on economic policy and global finance. His research frequently engages with central banks and policymakers to translate academic insights into actionable frameworks.

Ian Yi HanView profile

Assistant Professor

• Programme Evaluation
• Population Health
• Health Services Research
• +4 more

Dr. Ian Yi Han is an Assistant Professor at the Saw Swee Hock School of Public Health, National University of Singapore (NUS), and Co-Director of the Center for Health Intervention and Policy Evaluation Research (HIPER). His research focuses on evaluating community-based health interventions, telehealth programs, and the impact of built environments on health behaviors. He holds a Ph.D. in Behavioral Nutrition from Columbia University, an M.A. in Psychology in Education, and a B.Sc. in Neural Science & Psychology from New York University. Key research areas include programme evaluation, population health, health services research, and dietary behaviors. He explores how interventions can improve patient experiences and population health outcomes, particularly through telemedicine and lifestyle modifications. His work has been published in journals like npj Digital Medicine, Metabolism, and the Journal of Nutrition Education and Behavior. Notable projects include studies on blood pressure telemonitoring, diabetes management during the pandemic, and supermarket intervention strategies for obesity prevention. Dr. Han has contributed to policy initiatives through roles such as Senior Research Fellow at the National University Health System and Lecturer at Columbia University. He advises on primary care research and collaborates on global health projects, emphasizing interdisciplinary solutions to public health challenges.

Catherine O'SullivanView profile

Professor

• Particulate Soil Mechanics
• Discrete Element Modelling (DEM)
• Geotechnical Engineering
• +7 more

Prof. Catherine O'Sullivan is a Professor of Particulate Soil Mechanics at Imperial College London's Department of Civil and Environmental Engineering, part of the Faculty of Engineering. She leads the Geotechnics Section and serves as Editor-in-Chief of the ASCE Journal of Geotechnical and Geoenvironmental Engineering. Her research focuses on particulate soil mechanics, employing Discrete Element Modelling (DEM) and micro-CT imaging to study sand behavior, reservoir sandstones, and internal erosion. Notable recognitions include the 2016 Shamsher Prakash Research Award and the 2021 President’s Teaching Innovation Award. Education : PhD in Civil Engineering, University of California, Berkeley (2002) MEngSc in Civil Engineering, University College Cork (Ireland) BEng (Civil Engineering), University College Cork (Ireland) Research Interests : Prof. O'Sullivan's work integrates computational and experimental methods to explore granular material behavior. Key areas include DEM validation, μCT analysis, and pore network modeling. Her group collaborates across disciplines, involving physicists and mechanical engineers alongside civil engineers. Awards & Recognition : 2015 Geotechnique Lecture Student Choice Supervision Award (nominated twice) 2023 Alert Geomechanics Special Lecture Advising & Grants : She supports PhD and postdoctoral researchers through Imperial scholarships and fellowships. Her students often explore particulate soil behavior, with many securing prestigious awards. Labs & Teams : Leads the Geotechnics Section at Imperial, fostering interdisciplinary research in geomechanics and computational modeling.

Bilal FarooqView profile

Associate Professor

• Disruptive transportation technologies and services
• Cyber-physical transportation systems
• Artificial intelligence and machine learning
• +4 more

Bilal Farooq is an Associate Professor and Program Director for the Master of Engineering in Interdisciplinary Engineering (MEIE) at Toronto Metropolitan University, holding the Canada Research Chair in Disruptive Transportation Technologies and Services within the Department of Civil Engineering. His educational background includes a PhD from the University of Toronto (2011), MASc from Lahore University of Management Sciences (2004), and BSc from the University of Engineering and Technology (2001). Dr. Farooq's research pioneers disruptive transportation solutions through cyber-physical systems, AI/machine learning applications, behavioral modeling, and optimization techniques. His work specifically targets on-demand multimodal systems, sustainable urban transportation, urban air mobility, automated vehicles, and extended reality applications, addressing critical urban mobility challenges with human-centered approaches. Analysis of his recent publications reveals a strong trend toward quantum-enhanced computational methods, privacy-preserving federated learning frameworks, and sustainability-focused decarbonization strategies across transportation domains, with increasing emphasis on human factors and real-world implementation. Notable scientific awards include: Ontario Early Researcher Award (2018) Canada Research Chair (2017) MassMotion Academic Pedestrian Modelling Project of the Year (2016) Québec Early Researcher Award (2014) Dr. Farooq actively supervises graduate students and secures significant research funding through his Canada Research Chair position and Early Researcher Awards. He directs the Laboratory of Innovations in Transportation (LiTrans), which develops interdisciplinary solutions integrating mathematics, engineering, computer science, and economics to address emerging transportation challenges. LiTrans focuses on disruptive transportation technologies, complete streets design, cyber-physical systems, pedestrian dynamics, resilience, and climate change impacts, collaborating with industry and government partners to translate research into practical urban mobility innovations for smart cities worldwide.

• Health services for older people
• Collaborative models of care
• Frailty
• +4 more

Janani Thillainadesan is an NHMRC Senior Research Fellow at the Sydney Medical School/Concord Clinical School and the Centre for Education and Research on Ageing, affiliated with the Faculty of Medicine and Health at the University of Sydney. She is also a member of the Charles Perkins Centre. Her research focuses on optimizing healthcare delivery for older adults, particularly in geriatric surgery, perioperative care, and dementia interventions. Key research areas include frailty assessment, deprescribing strategies, collaborative care models, and leveraging technology (e.g., mobile health) in geriatric medicine. She has contributed to multidisciplinary studies involving clinical datasets, quality indicators, and mixed-methods analyses of patient experiences and care expectations. Awards: 2023 RACP Vincent Fairfax Research Fellowship 2021 ANZSGM Career Investigator Prize 2021 UK Age Anaesthesia Association Best Oral Presentation Prize 2019 Evidence Based Perioperative Medicine Asia Congress Runner Up Prize Her work bridges clinical practice, education, and policy through grants like the 2024 electronic frailty index project. Media engagement includes a 2019 Studio 10 segment highlighting her contributions to aging-related healthcare innovations.

Anna GrigolonView profile

Assistant Professor

• Sustainable Urban Mobility
• Transportation Planning and Modeling
• Accessibility Modeling
• +10 more

Anna Grigolon is an Assistant Professor at the University of Twente , Netherlands, affiliated with the Transport Engineering and Management Research Group . Her research focuses on sustainable urban mobility , user-centric transport solutions , and travel behavior analysis using tools like discrete choice modeling , spatial analysis , and social psychology theories . Research Interests : Sustainable Urban Mobility Accessibility Modeling Travel Behavior Discrete Choice and Latent Class Modeling Spatial Analysis and GIS Shared Micromobility and Mobility Hubs Equity in Transport Planning Article Trends : Anna’s recent work (2025–2024) emphasizes mobility justice , 15-minute city transitions, and equity in transport access , particularly for marginalized communities like São Paulo favelas. She integrates digital tools (e.g., serious games, kiosks) and space-time metrics to evaluate mobility solutions. Projects : She currently leads the SmartHubs project and contributes to DREAMS and R-map , focusing on smart, equitable mobility systems in Europe and Saudi Arabia.

• Non-Communicable Diseases
• Global Health
• Health Services Research
• +3 more

Dr. Jeremy I. Schwartz is an Associate Professor at Yale School of Medicine (Department of Medicine) and Yale School of Public Health (Department of Chronic Disease Epidemiology). He specializes in non-communicable diseases (NCDs), global health, and digital health interventions. As Firm Chief of Yale Primary Care Residency Program and Director of the Faculty Network Program at the Yale Institute for Global Health, he leads initiatives to improve healthcare delivery in low-resource settings. He co-founded the Uganda Initiative for Integrated Management of Non-Communicable Diseases (UINCD), collaborating with Ugandan institutions to address fragmented NCD care. His research focuses on hypertension, diabetes, and heart failure management in Uganda, leveraging mobile health (mHealth) tools. He also directs the 'Topics in Global Medicine' course at Yale, training future healthcare leaders in global health challenges. Education: MD from University of Rochester School of Medicine & Dentistry (2006), BS from Cornell University (2000). Honors include the Doran J. Stevens Prize (2006), Gold Humanism Honor Society (2006), and Alpha Omega Alpha (2005). Key roles: Medical Director of the Eastern Caribbean Health Outcomes Research Network (ECHORN), Co-Director of UINCD, and affiliated faculty at the Yale Institute for Global Health and Center for Interdisciplinary Research on AIDS. His work emphasizes interdisciplinary collaboration, with a focus on Africa and the Caribbean. Research emphasizes integrated care models, digital health innovations, and policy advocacy for NCDs. Recent projects include adapting mobile health applications for heart failure patients and evaluating cost barriers to essential medicines in Uganda.

Theo ArentzeView profile

Professor

• Spatial Choice Behavior
• Decision Support Systems
• Activity-Based Modeling
• +9 more

Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.

Myrto KalouptsidiView profile

Professor

• Industrial Organization
• International Trade
• Transportation Markets
• +2 more

Myrto Kalouptsidi is a Professor of Economics at Harvard University. She specializes in Industrial Organization, International Trade, and Transportation Markets. Her research explores industrial policy impacts, global trade dynamics, firm investment patterns in volatile industries, and structural modeling of transportation markets. Education: BA from University of Athens, PhD from Yale University Former faculty at Princeton University Foreign Editor at Review of Economic Studies Research Fellow at NBER and CEPR Notable awards include the Frisch Medal (2022) for her work in Econometrica and the Bodossaki Young Scientist Prize (2021) . She has secured multiple NSF grants, including a CAREER grant in 2019. Her research has been widely recognized in outlets like The Economist, LSE Business Review, and Microeconomic Insights. She advises graduate students and contributes to structural modeling advancements through publications in top journals including American Economic Review, Econometrica, and Review of Economic Studies.