Find Academic Supervisors

Joel GohView profile

Associate Professor

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +6 more

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

Anastasia SemykinaView profile

Professor

• Theoretical Econometrics
• Applied Econometrics
• Labor Economics
• +4 more

Anastasia Semykina is a Professor of Economics and Deputy Dean (Research and Innovation) at RMIT University's School of Economics, Finance & Marketing. She holds a PhD from Michigan State University (2006) and previously served as Charles and Joan Haworth Professor of Economics at Florida State University. Her expertise spans theoretical and applied econometrics, with a focus on panel data models, missing data estimation, and their application in labor economics, education economics, transition economies, and economic psychology. She teaches advanced econometrics and microeconomics courses at both undergraduate and graduate levels. Research Interests: Theoretical and Applied Econometrics Labor Economics Economics of Education Transition Economies Economics and Psychology Health Economics Her recent publications address topics such as panel data methodologies, healthcare cost-effectiveness analysis, and educational policy evaluation. She is actively involved in supervising PhD and Master's research students in econometrics and applied economics.

Jin MaView profile

Professor

• Stochastic Analysis
• Stochastic Differential Equations
• Stochastic Control Theory
• +3 more

Jin Ma is a Professor in the Department of Mathematics at the University of Southern California (USC), where he has served since 2007. He previously held professorships at Purdue University (1994–2008). His research focuses on stochastic analysis, stochastic differential equations, mathematical finance, and control theory. He directs USC's Mathematical Finance Program and serves on editorial boards for journals like Probability, Uncertainty and Quantitative Risk and SIAM Journal on Control and Optimization . Ma received his Ph.D. in Mathematics from the University of Minnesota (1992) and M.S./B.S. in Applied Mathematics from Fudan University (1985/1982). His work bridges theoretical stochastic analysis and applied domains like finance and insurance, with notable contributions to forward-backward SDEs and mean-field games. Research Highlights: Developed frameworks for stochastic control and backward SDEs in financial and insurance contexts. Advanced mean-field game models for limit order book dynamics and equilibrium analysis. Explored set-valued stochastic differential equations and their applications in risk management. Grants & Advising: Advised numerous graduate students in stochastic processes and mathematical finance. Research supported by NSF grants and industry collaborations.

David DillenbergerView profile

Professor

• Microeconomic Theory
• Decision Theory
• Non-Expected Utility Models
• +3 more

David Dillenberger is a Professor of Economics at the University of Pennsylvania's School of Arts and Sciences, Department of Economics. He has been at Penn since 2008, following his PhD from Princeton University. His research focuses on microeconomic theory, particularly decision theory, with an emphasis on non-expected utility models, risk and time preferences, and social preferences. Education: PhD from Princeton University. His work bridges theoretical economics with behavioral insights, addressing topics such as stochastic impatience, mixture aversion, and consensus effects in group decision-making. Research interests include modeling decision-making under uncertainty, time preferences, and social behavior. Notable contributions include studies on time lotteries, stochastic impatience, and the dynamics of subjective information choice. Publications span top journals like the American Economic Review, Econometrica, and Theoretical Economics, reflecting a focus on foundational questions in economic theory. His recent work (2023–2024) explores caution in decision-making and allocation mechanisms under aversion to mixture outcomes. No scientific awards are listed, though his extensive publication record indicates significant scholarly impact. Teaching includes courses on strategic reasoning and fairness/altruism in the PPE program. Advising and grants: Details not provided in available texts. Active participation in interdisciplinary research through affiliations like the Penn SoNG (Social Norms and Behavioral Dynamics) initiative. Labs/Teams: Affiliated with the Department of Economics and the Master of Behavioral and Decision Sciences program at UPenn.

Tomasz StrzaleckiView profile

Professor

• Decision Theory
• Behavioral Economics
• Microeconomics
• +4 more

Tomasz Strzalecki is a Professor in the Department of Economics at Harvard University. His research centers on decision theory, with a focus on ambiguity aversion , temporal preferences , stochastic choice , and bounded rationality . He earned his PhD in Economics from Northwestern University in 2008. Education: PhD in Economics (2008), Northwestern University His scholarly work spans theoretical and applied economics, including key contributions to random utility models , dynamic decision-making , and neuroeconomic modeling . Recent publications, such as Stochastic Choice Theory (2025) and Variational Bayes and non-Bayesian Updating (2024), reflect his ongoing exploration of Bayesian inference and behavioral deviations. Earlier work in Econometrica and American Economic Review established foundational models for choice aversion , time inconsistency , and ambiguity evaluation . Tomasz’s research has been published in top journals like Econometrica , American Economic Review , and Proceedings of the National Academy of Sciences , covering themes such as probabilistic sophistication , decision timing , and collective action in development economics. His co-authors include prominent economists like Drew Fudenberg, Mira Frick, and Larry Epstein.

Valentyn PanchenkoView profile

Professor

• Financial Econometrics
• Time Series Analysis
• Dependence Measures and Copulae
• +11 more

Professor Valentyn Panchenko is a leading academic in Economics at the UNSW Business School, specializing in advanced econometric methodologies and financial modeling. Holding a PhD from the University of Amsterdam and an MPhil from the Tinbergen Institute, his research bridges theoretical econometrics with real-world financial applications, emphasizing big data analysis, network structures, and dependence modeling in economic systems. His expertise spans financial econometrics, time series analysis, non-parametric statistics, and agent-based economic simulations. He focuses on Granger causality, model evaluation, structural economic modeling, and bounded rationality with heterogeneous agents. His work has secured significant grants including ARC Discovery Projects and DECRA fellowships, enabling cutting-edge research on market dynamics and economic interactions. Professor Panchenko's publications appear in top-tier journals like the Journal of Econometric Theory, AEJ: Micro, Journal of Economic Dynamics & Control, and Journal of Banking & Finance. His methodological contributions include novel approaches to copula-based forecasting, nonlinear causality testing, and evolutionary learning models in strategic economic environments. While specific student advising details aren't provided, his research leadership demonstrates sustained impact across econometric theory, financial markets, and experimental economics.

Richard BurnsView profile

Associate Professor

• Mental Health
• Wellbeing
• Global Disease Burden
• +7 more

Associate Professor Richard Burns is a Senior Fellow at the Australian National University's National Centre for Epidemiology and Population Health, working within the Department of Health Economics, Wellbeing and Society. With a distinguished academic career spanning epidemiology and population health, he contributes significantly to global health research initiatives including the Global Burden of Disease Study. BMus (ANU) BA (CSU) PGDE (UC) MSc (Manchester) MBiostats (USyd) PhD (USQ) Professor Burns' research focuses primarily on mental health, wellbeing, and the global disease burden, with particular expertise in life expectancy, psychological wellbeing, and dementia. His work bridges epidemiological methods with practical applications for population health improvement. His research fingerprint shows strong concentration in mental health (100%), wellbeing (49%), global disease burden (47%), and life expectancy (25%). His recent publication record demonstrates remarkable productivity, with 112 research outputs including 18 publications in 2024 alone. These works span high-impact journals including The Lancet, The Lancet Neurology, and Genes, focusing on global health metrics, mental health services, cognitive function, and healthy aging across diverse populations. His research shows a clear trend toward interdisciplinary approaches combining epidemiology, neuroscience, and public health policy. Professor Burns has successfully secured multiple research projects, including the Internal Validation of Defence Wellbeing Measure (2023-2025), Mental Health Analysis and Modelling, and the Request for Quotation application: Defence Wellbeing Research Framework. He collaborates extensively with researchers across Australia and internationally. As a registered supervisor, Professor Burns mentors students in epidemiology and population health research. His laboratory work focuses on the PATH through Life Project and other longitudinal studies examining mental health trajectories across the lifespan. His team employs advanced statistical modeling and neuroimaging techniques to understand the complex interplay between biological, psychological, and social determinants of health.

Florian BrandlView profile

Associate Professor

• Microeconomics
• Social Choice Theory
• Decision Theory
• +4 more

Florian Brandl is an Argelander Professor (associate professor with tenure) at the University of Bonn, holding positions in both the Department of Economics and the Hausdorff Center for Mathematics. Previously, he was a postdoctoral research scholar at Princeton University and Stanford University. His academic career demonstrates a strong foundation in mathematical economics and game theory, with affiliations spanning multiple prestigious institutions. Brandl earned his Doctoral degree in Mathematics (summa cum laude) from the Technical University of Munich in 2018, following a Master's degree (2013) and Bachelor's degree (2011) from the same institution. His doctoral work focused on "Zero-Sum Games in Social Choice and Game Theory" under the supervision of Felix Brandt, establishing the foundation for his research trajectory. Prof. Brandl's research spans microeconomic theory with a focus on social choice theory, decision theory, and game theory. He is particularly interested in decision-making under uncertainty, connections between social choice and game theory, and dynamic processes converging to equilibrium. His work employs mathematical tools to analyze interactions of multiple entities in economic contexts, often incorporating algorithmic approaches and methods from theoretical computer science. He has made significant contributions to fair division, mechanism design, and probabilistic social choice. His publication record shows consistent contributions across multiple subfields, with recent work focusing on patience effects in fair division, social learning barriers, and axiomatic characterizations of equilibrium concepts. Brandl's research demonstrates strong interdisciplinary connections between economics, mathematics, and computer science, with publications in top journals across all three disciplines. Best Student Paper Award at WINE 2021 for "Funding Public Projects: A Case for the Nash Product Rule" Associate Editor for Theoretical Economics Co-organizer of the COMSOC Video Seminar Prof. Brandl actively contributes to academic service and community building. He co-organizes the COMSOC Video Seminar and will host a Trimester Program on "Advances in Mechanism Design" in Bonn in summer 2026. He serves on program committees for major conferences including COMSOC 2023 and EC 2023. His research has been supported through his position as a Bonn Junior Fellow at the Hausdorff Center for Mathematics since 2021. Based at the Institute for Microeconomics and affiliated with the Hausdorff Center for Mathematics, Brandl collaborates with a broad network of researchers across economics and computer science. His work often involves interdisciplinary collaboration, as evidenced by his numerous co-authored publications with researchers from various institutions worldwide. He maintains strong connections with the University of Oxford's Global Priorities Institute as a Research Affiliate.

Jeffrey Sanford RussellView profile

Professor

• Decision Theory
• Ethics
• Formal Epistemology
• +4 more

Jeffrey Sanford Russell is a Professor of Philosophy at the University of Southern California's School of Philosophy, where he also serves as Director of Graduate Studies. He holds a PhD from New York University (2011). His research focuses on decision theory, ethics, formal epistemology, metaphysics, and the philosophy of religion and mathematics. Russell teaches courses on topics like probability, rational choice, and the limits of logic, emphasizing interdisciplinary approaches blending philosophy with mathematics, psychology, and economics. His work explores foundational questions in ethics, such as infinite value aggregation paradoxes, and decision theory, including stochastic dominance and self-locating evidence in cosmology. He has contributed to debates on multiverse hypotheses, moral hedging, and the structure of possible worlds. Russell’s publications appear in top journals like Noûs , Philosophical Review , and Philosophy and Phenomenological Research . His recent research addresses moral and epistemic challenges in infinite scenarios, such as infinite ethics and fanaticism in decision-making. He also investigates the intersection of metaphysics and formal logic, including composition principles and qualitative grounds for non-qualitative facts. Russell’s work bridges abstract philosophical inquiry with practical implications, such as ethical dilemmas in collective action and the epistemology of divine hiddenness.

Richard BradleyView profile

Professor

• Decision Theory
• Formal Epistemology
• Philosophy of Probability
• +4 more

Richard Bradley is Professor of Philosophy at the London School of Economics , focusing on decision theory, formal epistemology, and philosophy of science. His work bridges rational decision-making under uncertainty, conditional reasoning, and policy implications of probabilistic models. Key affiliations: London School of Economics, Department of Philosophy, Logic and Scientific Method Education: University of Witwatersrand (undergraduate), LSE (MSc), University of Chicago (PhD) Research covers: Decision theory with human-centric uncertainty models Formal epistemology of conditionals and belief revision Philosophy of climate change and pandemic policy decisions Bayesian utilitarianism and social choice theory His 2017 book Decision Theory with a Human Face integrates these themes. Scientific contributions include: 15+ peer-reviewed articles on conditionals, uncertainty, and social ethics Collaborations with H. Orri Stefánsson on risk attitudes Work with Roman Frigg on model ensemble decision-making Philosophy of Climate Science in IPCC assessments Major projects address confidence trade-offs in climate science and pandemic policy frameworks.

• Auctions and Mechanism Design
• Microeconomic Theory
• Information Design
• +3 more

Benny Moldovanu is Professor of Economics at the University of Bonn, where he holds the Chair of Microeconomics. He is a principal investigator in the Collaborative Research Center TR 224 (CRC TR 224) and a member of the Cluster of Excellence ECONtribute: Markets & Public Policy, as well as the Hausdorff Center for Mathematics and the Bonn Graduate School of Economics (BGSE). Education: Detailed curriculum vitae available at CV link . Research Interests: His research focuses on auctions and mechanism design , microeconomic theory , information design , voting theory , and dynamic allocation problems . He has made significant contributions to understanding strategic behavior in auctions, optimal voting rules, and the design of mechanisms under incomplete information. Recent Publications Trend: Recent work (2020–2025) explores entropy-regularized optimal transport in information design, optimal security design for risk-averse investors, order independence in sequential voting, and insurance design under adverse selection. These studies combine sophisticated theoretical tools with applications in finance, political economy, and market design. Scientific Awards and Honors: Winner of the first AEA Best Paper Award for the American Economic Journal: Microeconomics (2009) for “Dynamic Revenue Maximization with Heterogeneous Objects: A Mechanism Design Approach”. Advising and Doctoral Training: Professor Moldovanu has supervised a large cohort of doctoral students and postdocs, many of whom now hold faculty positions worldwide (e.g., Philipp Strack—Clark Medal recipient, Alex Gershkov, Andreas Kleiner, Xianwen Shi, Thomas Kittsteiner). He teaches Microeconomics II (summer 2025) and offers thesis supervision to BGSE students. Labs and Research Groups: He leads the Microeconomics Research Group at Bonn and coordinates research activities in the CRC TR 224 project B01, focusing on market design and information economics.

Md. Zoheb HassanView profile

Assistant Professor

• Spectrum sharing and management
• Wireless communication systems
• Communications and network control and regulation systems
• +1 more

Md. Zoheb Hassan serves as an Assistant Professor in the Department of Electrical Engineering and Computer Engineering at Laval University, where he leads cutting-edge research in wireless communications and spectrum management. His academic role includes graduate recruitment and active participation in the university's research ecosystem, particularly through the Establishment of the Next Generation of Professors program funded by FRQNT. Dr. Hassan's research centers on spectrum sharing and management, wireless communication systems, and communications network control systems. He pioneers the integration of digital twin technology and machine learning to solve critical challenges in next-generation networks, including interference management in 5G/6G aerial corridors, Internet of Vehicles, and satellite-terrestrial integration. His work emphasizes practical implementations such as proof-of-concept demonstrations for tactical networks and proactive resource allocation in dynamic environments. Analysis of his 2024-2025 publications reveals a dominant trend toward AI-driven wireless resource optimization, with 12 of 15 recent papers featuring digital twins for interference management, spectrum sharing, and energy efficiency. Key thematic clusters include vehicular communications (4 papers), underwater IoT networks (2 papers), and hardware-impairment resilient designs (3 papers), demonstrating his focus on bridging theoretical advances with real-world deployment challenges across diverse network topologies. Dr. Hassan has secured significant competitive funding for his research initiatives: Digital Twin-Enhanced Interference Management for Next-Generation Radio Access Networks in the FR3 Band (FRQNT, 2025-2027) Center for Radio Frequency and Communications Systems, Technologies and Applications (FRQNT, 2024-2030) Context-Aware Spectrum Sharing and Management for Next Generation Wireless Networks (NSERC, 2024-2029) Development of innovative technologies for modeling predictive systems in urban mobility (MITACS, 2022-2026) Springboard to Discovery supplement for Context-Aware Spectrum Sharing (NSERC, 2024-2025) He actively mentors doctoral candidates, currently supervising Mahima Karim (PhD in Electrical Engineering, expected 2025) and Mohammadamin Parhizgar (PhD in Electrical Engineering, expected 2024). His supervisory approach combines theoretical rigor with practical problem-solving, focusing on spectrum management algorithms and digital twin implementations for next-generation networks. While specific laboratory affiliations aren't detailed in the source material, his projects indicate strong alignment with Laval University's wireless research infrastructure and the Center for Radio Frequency and Communications Systems.

• Consumer Psychology
• Sustainable Consumption
• Waste Management
• +7 more

Valérie Guillard is a Professor of Management Science at Paris-Dauphine University, specializing in consumer behavior and sustainable consumption practices. Her academic career spans multiple decades with significant contributions to understanding consumer psychology related to material objects, waste management, and ecological transition. Dr. Guillard's research primarily focuses on consumer psychology, particularly examining how individuals relate to objects throughout their lifecycle, with special attention to second-hand markets, deconsumption practices, and waste perception. Her work bridges marketing theory and environmental sustainability, exploring the psychological dimensions of sustainable consumption behaviors. She coordinates a research contract funded by ADEME (French Environment and Energy Management Agency) on waste-related themes, demonstrating the practical application of her academic work. Her publication record shows a clear evolution toward sustainability-focused research, with recent articles examining textile ethics, perceived obsolescence among eco-conscious consumers, and the social dimensions of deconsumption. The interdisciplinary nature of her work is evident in publications spanning marketing journals, environmental science publications, and healthcare research outlets, particularly in her more recent work on telehealth and patient perceptions. Dr. Guillard has authored multiple books including 'Comment consommer avec sobriété' (2021), 'Comportements du consommateur' (2016), and 'Boulimie d'objets, l'être et l'avoir dans nos sociétés' (2014), establishing her as a leading voice in French consumer behavior research with growing international recognition. Her research methodology combines qualitative and quantitative approaches, often employing theoretical frameworks from sociology and psychology to analyze consumption phenomena. Recent work demonstrates increasing collaboration with researchers across disciplines, particularly in healthcare and regional development fields, indicating the expanding relevance of her consumer behavior expertise to diverse societal challenges.

Marek PetrikView profile

Associate Professor

• Reinforcement Learning
• Robust Decision Making
• Risk-Averse Optimization
• +13 more

Marek Petrik is an Associate Professor in the Department of Computer Science at the University of New Hampshire, where he is also a member of the artificial intelligence research group. Prior to joining UNH, he was a Research Staff Member at IBM’s T. J. Watson Research Center. He received his Ph.D. in Computer Science from the University of Massachusetts Amherst in 2010 under the supervision of Shlomo Zilberstein. In 2022–2023, he was a visiting faculty researcher at Google Research. Education: Ph.D. in Computer Science, University of Massachusetts Amherst, 2010 His research focuses on robust, data-driven decision making , particularly in reinforcement learning with limited data, risk aversion, and Bayesian models of uncertainty. His work spans theoretical advances in robust Markov decision processes (MDPs), policy optimization, and imitation learning, with applications in natural resource management, agriculture, renewable energy, and space systems. Recent publications emphasize provable robustness, percentile optimization, and safe offline reinforcement learning. His recent work (2023–2025) demonstrates strong trends in risk-averse reinforcement learning , robust policy gradients , offline learning under uncertainty , and Bayesian approaches to decision-making . He frequently publishes in top venues such as NeurIPS, ICML, UAI, AAAI, and journals like JMLR and Mathematics of Operations Research. Scientific Awards: Best Student Paper Award, Uncertainty in Artificial Intelligence (UAI), 2015 Marek Petrik has advised numerous students and collaborators, particularly in the areas of robust RL and safe decision-making. His research has been supported by academic and industry collaborations, including IBM and Google. He is not currently accepting new PhD students. He is actively involved in developing methods for controlling invasive species , pest monitoring , and optimizing environmental systems . Labs and Research Groups: Artificial Intelligence Research Group, University of New Hampshire Former member: Mathematical Sciences Department, IBM T. J. Watson Research Center Visiting researcher: Google Research, 2022–2023

Shima HamidiView profile

Assistant Professor

• Built Environment
• Transportation Planning
• Urban Sprawl
• +7 more

Dr. Shima Hamidi is Assistant Professor in the Department of Environmental Health and Engineering at the Bloomberg School of Public Health, Johns Hopkins University. She is also a core faculty member of the Bloomberg American Health Initiative and holds the Bloomberg Assistant Professorship in American Health in Environmental Challenges. Her academic background includes a PhD from the University of Utah (2015), an MSc from the Technological University of Malaysia (2009), and a BA from Shiraz University (2005). PhD, University of Utah, 2015 MSc, Technological University of Malaysia, 2009 BA, Shiraz University, 2005 Dr. Hamidi's research centers on the built environment, transportation, housing, and social determinants of health, with a strong focus on equity and urban sprawl. Her work explores how urban form influences public health outcomes such as life expectancy, traffic safety, food access, and upward mobility. She utilizes geospatial data and longitudinal analysis to assess the impacts of urban planning policies. Her recent publications (2020–2024) reflect a sustained focus on transportation equity, urban form, and public health. Key themes include ride-hailing versus fixed-route transit preferences, cycling safety in bikeshare cities, high-tech cluster geography, and the effectiveness of growth management policies. These works demonstrate interdisciplinary engagement with urban economics, environmental health, and policy analysis. Dr. Hamidi has received numerous honors, including: Endowed Chair in Environmental Challenges, Bloomberg American Health Initiative (2020–) Eno Fellow, Future Leaders Development Program (2015) Ivory Medal for Doctoral Scholarship, University of Utah (2015) Best Poster Award, Association of Collegiate Schools of Planning (2017) Presidential Fellow, University of Texas at Arlington (2017) She has advised students, such as Ahoura Zandi, and previously led the Center for Transportation Equity, Decisions and Dollars (CTEDD) at the University of Texas at Arlington, directing a multi-university consortium on transportation and health. Her research has been supported by the US Department of Transportation and widely cited in national media including the Wall Street Journal and CNN Money. Dr. Hamidi leads research initiatives that integrate urban planning with public health, contributing to policy-relevant science on sustainable and equitable urban development.