Find Academic Supervisors

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +4 more

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

Ashkan YousefpourView profile

Lecturer

• Computer Science
• Fog Computing
• Edge Computing
• +6 more

Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas , where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley . His research spans Fog/Edge Computing , Federated Learning , Reinforcement Learning , and Distributed Systems . Current Role: AI Scientist at Meta Academic Affiliation: Department of Computer Science, University of Texas at Dallas Research Interests include: Minimizing IoT service delay through fog offloading Developing failure-resilient distributed neural networks (ResiliNet) Advancing privacy-preserving machine learning (Opacus, Papaya) Optimizing traffic flow with autonomous vehicles via reinforcement learning Advising : Supervised multiple graduate students including Ashish Patil , Harshavardhan Nalajala , and Brian Nguyen . Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow .

B. Douglas BernheimView profile

Professor

• Behavioral Economics
• Public Economics
• Game Theory
• +7 more

B. Douglas Bernheim is the Edward Ames Edmonds Professor of Economics at Stanford University's Department of Economics. He serves as the Academic Council Faculty Director of Undergraduate Studies, overseeing academic programs and policies for undergraduate economics students. His research spans behavioral economics, public economics, game theory, and financial economics, with notable contributions to rationalizability in game theory, coalition-proofness, and behavioral welfare economics frameworks. Professor Bernheim has received prestigious recognitions including an honorary doctorate from the University of Zurich and the 2022 Exeter Prize for groundbreaking work in experimental economics. His work often bridges theoretical economics with practical policy implications, particularly in areas like financial education and addictive behaviors. Research Interests: - Behavioral Welfare Economics - Social Motives for Economic Choices - Financial Education Policies - Theories of Collusion and Market Structures His recent publications explore interventionist policies in welfare states, peer influence in financial decisions, and the empirical foundations of decision theories like cumulative prospect theory. Bernheim's work emphasizes rigorous experimental methods and real-world policy applications, reflecting his dual focus on academic theory and societal impact.

Jörg RotheView profile

Professor

• Computational Complexity
• Computational Social Choice
• Algorithmic Game Theory
• +5 more

Prof. Jörg Rothe is a faculty member at the Heinrich-Heine-Universität Düsseldorf, affiliated with the Institut für Informatik (Department of Computer Science) under the Mathematisch-Naturwissenschaftliche Fakultät (Faculty of Mathematics and Natural Sciences). His research focuses on computational complexity, computational social choice, algorithmic game theory, fair division, and cryptology. He has authored or co-authored numerous books and publications in top-tier journals and conferences. Education details not explicitly mentioned in provided texts. Key research areas include voting theory, bribery complexity, coalition formation, and argumentation systems. Rothe's work explores topics like the complexity of control in elections, fair allocation of resources, and stability in hedonic games. His recent publications address challenges in multiagent systems and computational social choice, such as fair division mechanisms and algorithmic solutions for strategic behavior. Despite extensive research contributions, no scientific awards or grants were explicitly listed in the provided materials. His group's work often intersects theoretical computer science with practical applications in AI and decision-making systems.

• American Politics
• Political Parties
• Political Behavior
• +5 more

Kyle L. Saunders is Professor of Political Science at Colorado State University and serves as the NCAA Faculty Athletics Representative. His research centers on American politics with quantitative methodology expertise. His educational background includes a Ph.D. from Emory University (2001). Saunders' work emphasizes political parties , electoral behavior , and public policy analysis , employing advanced quantitative methods to examine voter decision-making, conspiracy theory dissemination, and institutional trust. His interdisciplinary approach bridges political psychology and electoral systems research. Recent publications (2019-2024) reveal consistent focus on electoral integrity (voter confusion in ranked-choice systems), political cognition (numeracy effects on risk assessment), and identity-driven behavior (self-affirmation in partisan contexts), primarily published in top-tier journals like the American Journal of Political Science and Journal of Politics . His scientific recognition includes: Rebecca Morton Award for Best JEPS Article (2022) for 'Self-Affirmation and Identity-Driven Political Behavior' Saunders maintains active research leadership but no student advisement or grant details appear in source materials. His work shows increasing collaboration with interdisciplinary teams across communication, psychology, and data science fields.

Vincent ConitzerView profile

Professor

• Game Theory
• Artificial Intelligence
• Computational Social Choice
• +7 more

Vincent Conitzer is a Professor in the Computer Science Department at Carnegie Mellon University, with a courtesy appointment in the Department of Philosophy. His research intersects artificial intelligence, game theory, and ethics, focusing on computational social choice, moral decision-making in AI, and mechanism design. Primary Affiliation: Computer Science Department, Carnegie Mellon University Courtesy Appointment: Department of Philosophy, Dietrich College of Humanities and Social Sciences Labs: Affiliated with the Laboratory for Symbolic and Educational Computing His work addresses game theory , ethical AI , and computational epistemology , with publications exploring moral preference elicitation, strategic behavior in automated systems, and the intersection of economics and artificial intelligence. Recent trends in his publications include game theory , AI ethics , mechanism design , and computational social choice , reflecting his focus on aligning AI systems with human values and strategic reasoning. Vincent's research spans both theoretical and applied domains, including bioethics (e.g., kidney allocation decisions), cooperative AI, and the stability of moral preferences in algorithmic systems. He is associated with the Laboratory for Symbolic and Educational Computing and the Center for Formal Epistemology , contributing to interdisciplinary projects at the interface of computer science and philosophy.

Jean BaccelliView profile

Associate Professor

• Philosophy of Economics
• Decision Theory
• Social Choice Theory
• +3 more

Jean Baccelli is an Associate Professor of Philosophy of Economics at the University of Oxford and a Tutorial Fellow in Philosophy at Jesus College, Oxford. His research focuses on decision theory, social choice theory, and the philosophy of economics, with particular emphasis on axiomatic frameworks, utility theory, and formal methods in philosophical analysis. He holds a PhD from École normale supérieure - Ulm (2016) and has held postdoctoral positions at the Munich Center for Mathematical Philosophy (2016–2021), the Center for the Philosophy of Science at the University of Pittsburgh (2019–2020), and again in Munich (2020–2021). His career includes roles at prestigious institutions, reflecting his expertise in formal philosophy and economic theory. Research interests span foundational issues in decision theory, including the axiomatic foundations of rational choice, risk aversion, interpersonal comparisons, and the application of geometric and mathematical methods to philosophical problems. His work critically examines core assumptions in expected utility theory, social choice mechanisms, and the philosophical underpinnings of economic models. Notable contributions include analyses of the Sure-Thing Principle, geometric pooling in collective belief formation, and state-dependent utility frameworks. His publications engage with both technical formalism and broader philosophical debates, bridging analytic philosophy, economics, and mathematics. Baccelli’s advising and teaching focus on advanced topics in the philosophy of economics and decision theory, mentoring students through Oxford’s tutorial system. His interdisciplinary approach integrates formal methods with conceptual analysis, addressing challenges in welfare economics, epistemic democracy, and the philosophy of social science.

• Social Choice Theory
• Distributive Justice
• Behavioral Economics
• +7 more

Wulf Gaertner is a Professor of Economic Theory at the School of Business Administration and Economics, University of Osnabrück. He leads the microeconomics subject group and is actively engaged in teaching and research in theoretical and experimental economics. University: University of Osnabrück School: School of Business Administration and Economics Department: Economic Theory Academic Rank: Professor His research interests lie at the intersection of economics, philosophy, and psychology, with a focus on social choice theory, distributive justice, behavioral and experimental economics, and decision-making under risk. He investigates how psychological insights inform economic behavior and whether normative principles like fairness and equity are upheld in real-world choices. The body of recent publications reveals a strong trend toward integrating empirical methods—particularly questionnaire-based experiments—with classical social choice and welfare economics. His work spans theoretical developments and cross-cultural empirical investigations, examining perceptions of equity, burden sharing, and moral uncertainty. Themes such as procedural justice, capability theory, and the application of Arrow’s impossibility theorem across disciplines recur throughout his scholarship. Notable academic contributions include delivering lectures at institutions like the London School of Economics and Humboldt Universität, authoring the widely used textbook A Primer in Social Choice Theory , and contributing authoritative entries on Amartya Sen and John Rawls. He has also honored leading scholars through laudations for honorary doctorates awarded to Amartya Sen and Reinhard Selten. While no formal list of students is provided, Gaertner has collaborated extensively with researchers such as Yongsheng Xu, F. Cowell, L. Schwettmann, and J. Jungeilges. His research has been supported through academic affiliations and publications, though specific grant details are not mentioned. He is affiliated with the Institute of Empirical Economic Research (IEW) and contributes to the LaER Economic Research Seminar. He has no listed email, awards, or part-time status, and there is no indication of retirement or emeritus status. All evidence points to an active, full-time faculty member at the peak of his academic career.

• Accounting
• Taxation
• Finance
• +5 more

Hannah Rozen is an Associate Professor in the Department of Accounting, Taxation, Law and Information Sciences at Silberman College, Fairleigh Dickinson University. She holds a PhD from Hebrew University, Israel, and a BA/MA from Cleveland State University. Her academic role involves teaching and research in accounting, finance, and business law, with no indication of part-time status. Her research spans: Corporate governance in venture capital Accounting methodologies (e.g., LIFO/FIFO, fair value) Financial regulation and taxation Market efficiency and investment strategies Accounting education and professional credentialing Recent publications (2011–2025) focus on empirical analyses of accounting standards, valuation challenges in inflationary economies, and corporate governance efficacy. Trends include critical examinations of pension accounting, fair value reliability, and behavioral aspects of accounting education. No scientific awards, student advisees, grants, or lab affiliations are documented in available sources.

Zeynep PamukView profile

Associate Professor

• Democratic Theory
• Science and Politics
• AI Governance
• +2 more

Zeynep Pamuk is Associate Professor of Contemporary Political Theory at the University of Oxford and Professorial Fellow at Nuffield College. Her research examines the relationship between scientific expertise and democratic governance, investigating how societies can effectively incorporate specialized knowledge into political decision-making. Pamuk's work addresses challenges posed by emerging technologies and crisis governance. Research interests focus on democratic theory in contexts of scientific uncertainty, particularly regarding artificial intelligence, pandemic response, and environmental policy. Current projects investigate epistemic authority in democratic systems, judgment in algorithmic governance, and institutional designs for expert accountability. Publications demonstrate consistent engagement with science-policy interfaces, emphasizing democratic legitimacy in technical decision-making. Recent articles analyze COVID-19 scientific advisory systems, AI's impact on political judgment, and conceptual frameworks for managing scientific ignorance in governance contexts. Awards include the APSA Foundations of Political Theory Book Award for Politics and Expertise: How to Use Science in a Democratic Society . Pamuk advises graduate students researching democratic epistemology and serves on editorial boards of leading political theory journals.

Kevin DorstView profile

Assistant Professor

• Epistemology
• Cognitive Science
• Decision Theory
• +3 more

Kevin Dorst is an Assistant Professor at the Massachusetts Institute of Technology (MIT), where he joined the faculty in 2022. He holds a PhD from MIT (2019) and previously taught at the University of Pittsburgh. His research focuses on epistemology and cognitive science, particularly questions about the nature of rationality, its importance, and whether human cognition aligns with rational standards. His work addresses topics such as higher-order evidence, cognitive biases (e.g., conjunction fallacy, hindsight bias), decision theory, and social epistemology. Education: PhD in Philosophy from MIT (2019). Earlier academic background includes teaching roles at the University of Pittsburgh. Research interests emphasize understanding rationality through lenses of epistemology and cognitive science, exploring how people process evidence, handle uncertainty, and navigate conflicts between beliefs and external information. His recent work critiques common cognitive biases and proposes frameworks for evaluating rational judgment in contexts like political polarization and Bayesian reasoning. Publications span theoretical and applied topics in epistemology, with a focus on formal models of belief revision, decision-making under uncertainty, and the implications of higher-order evidence for doxastic norms. Notable themes include the gambler’s fallacy, modesty in belief adjustment, and the role of epistemic consequentialism in shaping rational practices. No academic awards are listed in the provided materials. No grants or advising roles are explicitly mentioned, though his work suggests involvement in interdisciplinary research teams.

Timothy HydeView profile

Professor

• Architecture History
• Political Dimensions of Architecture
• Law and Urban Planning
• +3 more

Timothy Hyde is a Professor and Associate Department Head at the Massachusetts Institute of Technology (MIT), affiliated with the School of Architecture + Planning and the Department of Architecture. His research explores the political dimensions of architecture from the eighteenth century to the present, with a focus on architecture’s relationship to law and urban governance. Hyde holds a BA from Yale University, an MArch from Princeton University, and a PhD from Harvard University. His major publications include Ugliness and Judgment: On Architecture in the Public Eye (2019) and Constitutional Modernism: Architecture and Civil Society in Cuba, 1933-1959 (2012). He is a founding member of the Aggregate Architectural History Collaborative and has contributed to journals like Log , Thresholds , and Journal of Architecture . Hyde has been a Clark/Oakley Humanities Fellow at the Clark Art Institute and Williams College (2020-21), a MacDowell Colony Fellow, and has received grants from the Graham Foundation and the Paul Mellon Centre. His work examines topics ranging from architectural aesthetics to the entanglement of legal frameworks in urban development. He has advised on grants related to architectural history and theory, and his research often bridges interdisciplinary boundaries between law, politics, and material culture. Hyde is actively involved in MIT’s architectural programs and contributes to public dialogues on the role of architecture in societal structures.

• Sensory Neuroscience
• Cognitive Psychology
• Neurophilosophy
• +3 more

Dr Antonio Cataldo is a Research Fellow affiliated with the Institute of Philosophy at the University of London. His research focuses on sensory neuroscience, cognitive psychology, and neurophilosophy, particularly investigating multisensory integration, perceptual processes, and the neural mechanisms underlying self-perception. His work bridges empirical research and philosophical inquiry, exploring how sensory inputs are aggregated into coherent experiences. Key research themes include the interplay between tactile and motor signals in spatial self-perception, the modulation of agency through haptic feedback, and the paradoxical interactions within somatosensory submodalities. Cataldo has contributed to understanding thermal referral illusions, pain modulation by warmth, and the salience-driven biases in tactile perception. His studies often employ experimental paradigms combining neurophysiological measures and behavioral experiments. Publications highlight his exploration of touch perception, sensorimotor integration, and clinical applications of perceptual mechanisms in conditions like depersonalization. He is actively engaged in interdisciplinary research, with affiliations including University College London (UCL) for consultancy and media collaborations. No scientific awards are explicitly listed, though his prolific publication record indicates sustained academic engagement. His research has been supported by collaborations with institutions such as UCL and international conferences like EuroHaptics.

• Speech Recognition
• Natural Language Processing
• Machine Learning
• +3 more

Tien Ping Tan is an experienced researcher specializing in speech recognition , natural language processing , and machine learning applications. With a PhD in Automatic Speech Recognition for Non-Native Speakers from Joseph Fourier University (2008), his career spans two decades of impactful contributions across multiple domains.

• Decision Making
• Cognitive Psychology
• Judgment and Decision Making
• +5 more

Christin Schulze serves as Senior Research Scientist at the Max Planck Institute for Human Development and Adjunct Associate Professor at The Arctic University of Norway since 2019. Her work bridges cognitive psychology and decision science, focusing on how humans develop and execute choices under uncertainty across individual and social contexts. Education Ph.D. Psychology, University of New South Wales (2015) M.Sc. Psychology (Dipl. Psych.), Friedrich-Schiller University Jena (2011) Research Focus : Schulze leads the “Development of Decision Making” research area within the Adaptive Rationality group. Her investigations span experience-based decisions under uncertainty , childhood development of decision strategies , cognitive modeling of judgment , and social/group decision dynamics . She employs experimental paradigms and computational models to dissect how environmental structure, cognitive constraints, and social interactions shape choices from infancy through adulthood. Publication Trends : Her 2015-2021 corpus reveals consistent exploration of probability matching phenomena, social sampling mechanisms, and description-experience gaps. Key contributions demonstrate how group contexts eliminate individual decision biases (Schulze & Newell, 2016) and how bounded rationality governs social information acquisition (Schulze et al., 2021), bridging cognitive, developmental, and social psychology. Scientific Awards Advising & Grants : While specific students and funding sources aren’t detailed in available materials, her leadership of a Max Planck research area implies significant mentorship responsibilities and grant management for decision-science projects. Research Infrastructure : Schulze heads the “Development of Decision Making” unit within the Adaptive Rationality department at Max Planck, directing a team investigating cognitive architectures of choice through behavioral experiments and mathematical modeling.