جست‌وجوی استاد و پژوهشگر

Alison Ledgerwoodمشاهده پروفایل

استاد

• Social Psychology
• Open Science
• Methodology
• +۴ مورد دیگر

Alison Ledgerwood is a Professor in the Department of Psychology at the University of California, Davis, and Principal Investigator of the Attitudes and Group Identity Lab. Her research examines how social context shapes attitudes and preferences, with a focus on open and inclusive scientific practices. Ph.D., Social Psychology, New York University (2008) M.A., Psychology, New York University (2006) B.A., Psychology, Amherst College (2003) Her research explores psychological distance , framing effects , and system justification theory , while methodologically advancing preregistration , collaborative science , and equity in publishing . She also investigates group identity dynamics and implicit/explicit bias measurement . Recent publications highlight her work on racial bias methodology , open science reform , and contextual framing . Awards include the 2024 Distinguished Service to the Society award, 2021 UC Davis Advising and Mentoring Award, and 2017 SPSP Service to the Field award. 2024 Distinguished Service to the Society, SPSP 2021 UC Davis Graduate Advising and Mentoring Award 2017 Service to the Field, SPSP Hellman Fellowship (2010-2011), UC Davis UC Davis Chancellor's Fellow APS Fellow SESP Fellow Ledgerwood advises on scientific integrity through roles like Chair of the Transparency and Openness Promotion (TOP) II Guidelines Task Force and Anti Colorism and Eurocentrism in Methods and Practices (ACEMAP) Task Force. Her lab fosters contextual evaluation studies and psychological distance frameworks .

David Duvenaudمشاهده پروفایل

دانشیار

• Machine Learning
• Generative Models
• Bayesian Inference
• +۵ مورد دیگر

David Duvenaud is an Associate Professor at the University of Toronto , holding a Canada Research Chair in Generative Models and a Schwartz Reisman Chair in Technology and Society . He is cross-appointed to the Department of Computer Science and Department of Statistical Sciences . A Sloan Research Fellow and founding member of the Vector Institute , his work bridges deep probabilistic models , AI safety , and scientific computing . PhD in Machine Learning (University of Cambridge, 2014) Postdoc in Hyperparameter Optimization (Harvard University, 2016) Co-founded Invenia (energy forecasting company) His research spans foundational Neural Ordinary Differential Equations (NeurIPS 2018 Best Paper) and Automatic Chemical Design (ACS Central Science 2018) to recent work on AGI governance (2025) and AI safety (2024). Key contributions include stochastic variational inference , implicit differentiation frameworks , and antisymmetrization layers for quantum Monte Carlo. Recent publications (2024-2025) focus on systemic existential risks from AI , many-shot jailbreaking attacks , and epistemic uncertainty quantification . His group trains energy-based models with scalable MCMC samplers and develops invertible neural architectures (e.g., Residual Flows NeurIPS 2019). He also explores human-AI alignment through LLM Processes (NeurIPS 2024) and Sycophancy in Language Models (ICLR 2024). Canada Research Chair (2025) NSERC Grant (2025) Sloan Research Fellow (2021) Schwartz Reisman Chair (2021) Best Paper Award (NeurIPS 2018) Distinguished Paper Award (ICFP 2021) His students include James Requeima , Jesse Bettencourt , and Raymond Douglas . He teaches courses on Statistical Methods for Machine Learning and Differentiable Inference . Current work (2025) investigates systemic human disempowerment through incremental AI capabilities and sabotage risk mitigation via hyperparameter-aware evaluations.

Navid Azizanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Control Systems
• +۵ مورد دیگر

Navid Azizan is the Alfred H. (1929) and Jean M. Hayes Career Development Assistant Professor at Massachusetts Institute of Technology (MIT), holding dual appointments in the Department of Mechanical Engineering (in Control, Instrumentation & Robotics) and the Schwarzman College of Computing's Institute for Data, Systems & Society (IDSS). He is also a Principal Investigator in the Laboratory for Information & Decision Systems (LIDS), and a faculty member of the MIT Statistics and Data Science Center, the Center for Computational Science and Engineering, and the Operations Research Center. Dr. Azizan received his PhD in Computing and Mathematical Sciences from the California Institute of Technology (Caltech) in 2020, his MSc in Electrical Engineering from the University of Southern California in 2015, and his BSc in Electrical Engineering with a minor in Physics from Sharif University of Technology in 2013. Prior to joining MIT, he completed a postdoc at Stanford University's Autonomous Systems Laboratory and was a research scientist intern at Google DeepMind. His research spans the intersection of machine learning, systems and control, mathematical optimization, and network science. Dr. Azizan's work focuses on developing principled learning and optimization algorithms for reliable intelligent systems, with applications to autonomy and sociotechnical systems. His research has significant implications for creating trustworthy AI systems that can operate effectively in complex, uncertain environments. Dr. Azizan's recent publications demonstrate a strong focus on uncertainty quantification, reliable AI systems, constrained optimization, and control-oriented learning. His work bridges theoretical foundations with practical applications, particularly in autonomous systems where safety and reliability are paramount. His research group has made notable contributions to areas including neural network verification, multi-agent reinforcement learning, and adaptive inference techniques for large language models, with several papers featured on MIT News and selected for oral presentations at top conferences. Alfred H. (1929) and Jean M. Hayes Career Development Professorship (2025-present) Frank E. Perkins Award for Excellence in Graduate Advising (2025) List of Outstanding Academic Leaders in Data from the CDO Magazine (2024, 2023) Amazon Science Hub Research Award (2023) Outstanding UROP Faculty Mentor (2023) Esther and Harold E. Edgerton (1927) Career Development Chair (2022-2025) Information Theory and Applications (ITA) Gold Graduation Award (2020) Dr. Azizan has been recognized for his excellence in graduate advising, receiving the Frank E. Perkins Award for Excellence in Graduate Advising in 2025. During the pandemic, he founded and co-organized the 'Control meets Learning' virtual seminar series, connecting researchers across disciplines. His work has attracted significant research funding from industry partners including Google, Amazon, and MathWorks, supporting both fundamental research and practical applications in reliable intelligent systems. The Azizan Lab at MIT brings together researchers from mechanical engineering, computer science, and applied mathematics to tackle challenges at the intersection of learning and control. The lab emphasizes both theoretical foundations and practical implementations, with a particular focus on developing algorithms that provide guarantees of performance and safety. Current research directions include uncertainty quantification in AI systems, constrained optimization for neural networks, and control-oriented learning for autonomous systems, with applications spanning robotics, transportation, and complex sociotechnical systems.

Akshay R. Raoمشاهده پروفایل

استاد

• Consumer Behavior
• Pricing Strategy
• Brand Management
• +۸ مورد دیگر

Akshay R. Rao is a Professor and General Mills Chair in Marketing at the University of Minnesota's Carlson School of Management . He holds a PhD in Marketing from Virginia Tech and has served as founding Director of the Institute for Research in Marketing (2005-2010) and Chairman of the Marketing & Logistics Management Department (2003-2006). Rao has also held visiting positions at MIT and Hong Kong University of Science & Technology. Bachelor of Arts in Economics (Honors), Madras University (1978) Master of Business Administration in Marketing, XLRI - Xavier School of Management (1980) Doctor of Philosophy in Marketing, Virginia Polytechnic Institute and State University (1986) Rao's research spans consumer behavior, pricing strategy, brand management , and political marketplace segmentation , with recent work examining vaccine hesitancy , political ideology effects on consumer behavior , and fake news dynamics . His work appears in top journals including Journal of Consumer Research , Journal of Marketing , and Harvard Business Review , covering topics from neuromarketing to information economics . Scientific recognition includes: Robert Ferber Award (1987) Harold Maynard Award (2000) Distinguished Alumnus, XLRI (2011) He has testified before the Federal Trade Commission and served on editorial boards of Journal of Consumer Research and Journal of Marketing . Beyond academia, Rao consults for global firms like 3M and Medtronic, and has conducted the Minnesota Orchestra twice in 2024-2025.

Marc G. Bermanمشاهده پروفایل

استاد

• Environmental Neuroscience
• Cognitive Psychology
• Urban Neuroscience
• +۷ مورد دیگر

Marc G. Berman is a Professor and Chair of the Department of Psychology at the University of Chicago. His research focuses on understanding how environmental factors interact with human cognition, emotion, and behavior, particularly through the lens of environmental neuroscience. He leads the Environmental Neuroscience Lab (ENL), investigating how natural and urban environments influence brain function, memory, attention, and mental health. Dr. Berman holds a B.S.E. in Industrial and Operations Engineering from the University of Michigan and a Ph.D. in Psychology and Engineering from the same institution. His postdoctoral training was at the Rotman Research Institute in Toronto. Prior to Chicago, he was an Assistant Professor at the University of South Carolina. His research interests include the cognitive and affective benefits of natural environments, brain network efficiency, and the neurobiological underpinnings of self-control and emotion regulation. Recent work explores how urban design elements (e.g., greenspace, street activity) relate to crime rates and mental health outcomes, leveraging big data from social media and geospatial tools. Key contributions include demonstrating that natural environments improve memory and attention by ~20%, and that city characteristics like population diversity and segregation correlate with implicit racial biases. His lab employs fMRI, neuroimaging, computational modeling, and ecological data to quantify brain-environment interactions. Dr. Berman collaborates across disciplines, integrating neuroscience, psychology, urban planning, and data science to inform evidence-based environmental design for public health. Current projects include analyzing social media data to map gang networks and investigating how heat and greenspace influence emotional states in urban populations.

Zsofia Zaveczمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Sleep Research
• Electrophysiology
• +۳ مورد دیگر

Zsofia Zavecz is a Research Associate at the University of Cambridge Department of Psychology. Her work focuses on the neurophysiological mechanisms underlying sleep and memory consolidation, with particular emphasis on electrophysiological correlates of lucid dreaming and sleep-dependent learning. Research highlights include: Investigation of EEG functional connectivity during statistical learning Study of transcranial stimulation effects on probabilistic learning Analysis of sleep restriction impacts on hormonal regulation Exploration of cognitive reserve mechanisms in sleep disorders Her neuroscientific investigations span procedural memory systems, neural oscillations, and cross-population studies in both healthy individuals and pediatric sleep-disordered breathing patients.

L. Taylor Phillipsمشاهده پروفایل

دانشیار

• Diversity, Inclusion, D&I
• Privilege
• Inequality
• +۶ مورد دیگر

L. Taylor Phillips is an Associate Professor in the Department of Management & Organizations at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 2016. She holds a Ph.D. in Business Administration and a B.A. in Psychology and Human Biology, both from Stanford University. Ph.D., Business Administration, Stanford University B.A., Psychology and Human Biology, Stanford University Her research centers on the psychology of privilege, inequality, and diversity, with a focus on how advantaged groups perceive and respond to inequity. She investigates how privilege shapes beliefs and behaviors, particularly in organizational contexts, and how to engage privileged individuals in diversity and inclusion efforts. Her work integrates social psychology with organizational behavior, using experimental, longitudinal, and field methods to study hierarchy, power, race, gender, and social class. Her recent publications explore themes such as allyship effectiveness, discrimination recognition, denial of class privilege, and group-based hierarchies. These works appear in premier journals including the Journal of Personality and Social Psychology , Academy of Management Annals , and Organizational Behavior and Human Decision Processes , reflecting interdisciplinary impact across management, psychology, and sociology. Notable scientific awards and recognitions include: Early Career Award, International Society for Justice Research (2023) Rising Star Early Career Award, Association for Psychological Science (2021) Best Undergraduate Professors, Poets & Quants (2020) DARE Doctoral Fellowship, Stanford University (2014) NSF Graduate Research Fellowship (2011) Dr. Phillips advises on organizational DEI strategy and is a SPARQ Faculty Affiliate at Stanford University, applying research to real-world challenges. She has taught courses in Management and Organizations and Research Methods, mentoring future scholars and practitioners. Her work is supported by prestigious fellowships and appointments, including affiliations with the Clayman Institute for Gender Research and the Society for Personality & Social Psychology. She leads a research program that combines theoretical rigor with practical relevance, aiming to transform how organizations understand and manage social hierarchies. Her lab employs diverse methodologies, including physiological and cognitive tools, to uncover the mechanisms underlying privilege and inclusion.

• Contract Theory
• Game Theory
• Industrial Organization
• +۳ مورد دیگر

Klaus Schmidt is a Professor of Economics at Ludwig Maximilian University of Munich, holding the chair in the Department of Economics within the Faculty of Economics. His research focuses on theoretical and applied aspects of contract theory, game theory, and industrial organization, with significant contributions to understanding venture capital finance, privatization, and fairness in economic behavior. His educational background includes a Ph.D. in Economics from the University of Bonn (1991) with the dissertation "Commitment in Games with Asymmetric Information" and Habilitation (1994) with "Contracts, Competition, and the Theory of Reputation". Early academic support included scholarships from Studienstiftung des Deutschen Volkes (1982-87) and a German Academic Exchange Service grant (1988/89). Professor Schmidt's research centers on contract theory applications across diverse domains. His work on fairness and reciprocity (notably with Ernst Fehr) revolutionized behavioral contract theory, while contributions to venture capital finance and privatization established foundational frameworks for analyzing incomplete contracts in real-world settings. He employs rigorous game-theoretic modeling to address incentive problems in procurement, privatization, and organizational design. His publication record since 1991 reveals consistent focus on contract-theoretic problems, with increasing emphasis on behavioral aspects after 1999. Key thematic clusters include venture capital finance (2002-2003), fairness/reciprocity (1999-2000), and privatization/incomplete contracts (1995-1996), demonstrating evolution from pure theory to policy-relevant applications. Gossen Prize of the German Economic Association (2001) Commerzbank Prize of the Berlin-Brandenburg Academy of Sciences (2001) Teaching Prize of the Bavarian ministry of science (2000) Walter-Adolf-Jörn Prize (1993) German Academic Exchange Service Grant (1988/89) Studienstiftung des Deutschen Volkes Scholarship (1982-87) Professor Schmidt has secured major research funding including German Science Foundation grants for "Incomplete Contracts" (1999-present) and "Venture Capital Finance" (1998-present). His teaching excellence was recognized with Bavaria's highest teaching award (2000), and he maintains active collaboration with leading economists including Ernst Fehr and Monika Schnitzer. While specific student mentorship details aren't documented, his extensive publication record and seminar leadership indicate significant academic supervision.

Hakeem Jeffersonمشاهده پروفایل

استادیار

• American Politics
• Political Behavior
• Race and Ethnicity
• +۳ مورد دیگر

Hakeem Jefferson is an Assistant Professor of Political Science at Stanford University, affiliated with the Center for Comparative Studies in Race and Ethnicity, the Stanford Center for American Democracy, and the Center on Democracy, Development, and the Rule of Law. He earned his PhD in Political Science from the University of Michigan and a BA in Political Science and African American Studies from the University of South Carolina. His research focuses on identity’s role in shaping political attitudes, particularly how stigma influences Black Americans' support for punitive policies and reactions to issues like police violence. He co-won the 2020 Best Dissertation Award from the APSA Political Psychology Section for his work on respectability and punishment among Black Americans. His research also examines racial divides in public opinion, including reactions to officer-involved shootings and the limitations of traditional liberal-conservative scales for Black Americans. He has received grants from the Russell Sage Foundation and collaborates with scholars like Lauren Davenport and Koji Takahashi on projects exploring racial categorization, information avoidance, and collective policing. His teaching and public engagement emphasize clarifying racial justice issues for broader audiences, including convening experts post-George Floyd’s murder to address policing in America. Jefferson’s work bridges academia and activism, aiming to contextualize systemic inequities affecting marginalized communities. His current book project, Respectability: Identity, Stigma, and the Politics of Punishment among Black Americans , expands on his dissertation. He remains accessible for academic collaborations, media commentary, and speaking engagements on race, politics, and equity.

Shinsuke Shimojoمشاهده پروفایل

استاد

• Neuroscience
• Psychophysics
• Cognitive Science
• +۴ مورد دیگر

Shinsuke Shimojo is the Gertrude Baltimore Professor of Experimental Psychology at the California Institute of Technology (Caltech). He holds a B.A. (1978), M.A. (1980) from the University of Tokyo, and a Ph.D. (1985) from MIT. At Caltech, he has served as Associate Professor (1997–98), Professor (1999–2010), and Baltimore Professor (2010–present). His research focuses on perceptual decision-making, implicit cognition, and the neural mechanisms underlying sensory perception and social interaction. His work employs advanced methods like fMRI, EEG, and transcranial stimulation to study topics such as crossmodal integration, visual illusions, and the social brain. Shimojo leads the Shimojo Psychophysics Laboratory, collaborating with institutions like NTT Communication Science Laboratories, Harvard MGH, and MetaModal Inc. His lab investigates phenomena like sensory substitution, team flow dynamics, and human magnetoreception. Notable achievements include pioneering studies on the 'gaze cascade effect' and developing the ePlegona game system for studying team flow. Awards include the Red Dot Design Concept Award (2024) and grants from JST CREST and MEXT gCOE programs. His research bridges cognitive and neuroscience disciplines, emphasizing interdisciplinary approaches to understanding human perception and decision-making. Current projects explore implicit brain functions, social communication, and the neural correlates of emotional decisions. Shimojo also contributes to science communication through his column in Asahi Shimbun and public outreach via YouTube demonstrations of visual illusions.

Cathy Shakespeareمشاهده پروفایل

استاد

• Accounting Standards
• Financial Reporting
• Capital Markets
• +۳ مورد دیگر

Cathy Shakespeare is the Thomas C. Jones Associate Dean for Undergraduate Education and a Professor of Accounting at the Ross School of Business, University of Michigan. She holds a PhD from the University of Illinois at Urbana-Champaign (2002) and a BA from Dublin City University (1990). Her research focuses on financial reporting processes and their impacts on managerial and capital market decisions, with a particular emphasis on fair value accounting, regulatory responses, and earnings management. Professor Shakespeare’s work has been published in top journals such as the Review of Accounting Studies and the Accounting Review . Her recent research explores the effects of fair value accounting on comparability, regulatory uncertainty (e.g., Basel III), and the implications of debt valuation adjustments for credit risk. She has also examined market reactions to securitization impairments during the 2008 crisis and the role of corporate governance in reporting practices. Professor Shakespeare has been honored as the Michael and Jean Sakkinen Faculty Fellow. Her contributions extend to academic policy, including involvement with the American Accounting Association’s Financial Accounting and Reporting Section. She actively advises on undergraduate education and maintains affiliations with platforms like Deep Blue and SSRN.

Jeffrey M. Timberlakeمشاهده پروفایل

استاد

• sociology of population
• urban sociology
• race and ethnicity
• +۴ مورد دیگر

Jeffrey M. Timberlake serves as Professor of Sociology and Director of Graduate Studies in the Department of Sociology at the University of Cincinnati. His academic career centers on population dynamics, urban structures, and racial inequality, employing rigorous quantitative methodologies to examine systemic patterns across American metropolitan areas. His leadership in graduate education shapes emerging scholars in sociological research. Dr. Timberlake's educational foundation includes: PhD in Sociology from the University of Chicago (2003) MS in Sociology from the University of Wisconsin-Madison (1998) BA in Social Sciences from the University of Michigan-Ann Arbor (1991) His research program investigates the sociology of population, urban sociology, race and ethnicity, and quantitative methods. Recent work analyzes racial residential segregation, housing discrimination, children's exposure to neighborhood poverty and violence, and demographic shifts from 1970-2020. His publications reveal consistent focus on spatial inequality, ethnoracial dynamics, and policy impacts in housing markets. Analysis of his 15 most recent publications shows dominant themes in residential segregation measurement, racial steering mechanisms, and urban demographic change. Methodologically, he combines longitudinal data analysis with spatial statistics to document evolving patterns of inequality, particularly examining how neighborhood contexts shape life outcomes across racial groups. As Principal Investigator, Dr. Timberlake manages multiple active grants: CDC IPA Agreement w/ NIOSH (2021-2022): $50,000 federal grant Ohio Department of Medicaid Assessment Survey (2022): $45,210 state grant Ohio State University sub-award (2022): $45,210 higher education grant Medicaid Assessment Survey Year Two (2022-2023): $78,904 federal award Medicaid Assessment Survey Years Three-Four (2023-2025): $106,736 state grant and $59,107 federal award His research program demonstrates sustained federal and state funding for empirical studies of housing markets and population dynamics, with current work focused on Ohio Medicaid assessment systems.

Seda Erdemمشاهده پروفایل

استاد

• Applied Microeconomics
• Public Health Economics
• Behavioral Economics
• +۷ مورد دیگر

Roles & Affiliations: Professor of Applied Economics and Head of the Economics Division at Stirling Business School, University of Stirling. Member of the Stirling Behavioural Science Centre. Former member of the UK Food Standards Agency’s Social Science Research Committee (6 years). Active in interdisciplinary research on consumer behavior, decision-making, and preference elicitation. PhD in Economics (University of Manchester) MSc in Resource Economics (University of Massachusetts Amherst) Research Focus: Intersection of applied microeconomics, public health, and behavioral science. Specializes in consumer choice, decision-making processes, and methodological innovations like discrete choice experiments and best-worst scaling. Key themes include food safety perceptions, risk communication, trust in institutions, and health intervention design. Methodological contributions address preference heterogeneity, attribute non-attendance, and survey design rigor. Grants & Awards: Secured NIHR CLAHRC grants (2013-14), SIRE Early Career Engagement Grant, and Stirling Management School Seed Fund. Nominated for 2025 Teacher of the Year RATE Awards. Recognized for Best PechaKucha Presentation. Advising & Engagement: Supervises PhD students and research assistants. Serves as External Examiner for PhD theses. Collaborates with policymakers via the UK Food Standards Agency and public health initiatives. Leads projects on healthcare innovation prioritization and sustainable food systems. Labs & Networks: Core member of the Stirling Behavioural Science Centre. Engaged with interdisciplinary teams in health economics and global food security research. Active in the Scottish Institute for Research in Economics (SIRE).

David S. Marchمشاهده پروفایل

استادیار

• Social Psychology
• Implicit Cognition
• Threat Perception
• +۳ مورد دیگر

David S. March is an Assistant Professor in the Department of Psychology at Florida State University's College of Arts and Sciences. His research focuses on implicit cognition and threat processing, particularly how subconscious threat evaluation influences attitudes, prejudice, and behavioral responses. He actively recruits graduate students for Fall 2026 and oversees the March Research Laboratory. His research integrates social cognition, cognitive neuroscience, and behavioral psychology to challenge dual process models by introducing a speed-strength distinction between threatening and nonthreatening stimuli. Key areas include automacity of threat responses, racial bias mechanisms, and methodological advancements in mouse-tracking analysis. Dr. March's publications examine threat perception in contexts ranging from snake fear to police bias, contributing to understanding how implicit threat evaluations shape social behaviors and policy compliance. His work bridges evolutionary psychology with modern social issues like racial prejudice and pandemic health behaviors. Scientific Awards: Student Publication Prize by the Society for Personality and Social Psychology (2017)

Damani White-Lewisمشاهده پروفایل

استادیار

• Racial Inequality in Academia
• Organizational Behavior
• Social Psychology
• +۳ مورد دیگر

Damani White-Lewis is an Assistant Professor of Higher Education at the University of Pennsylvania's Graduate School of Education (Penn GSE). His research focuses on racial inequality in academic careers, leveraging organizational behavior and social psychology frameworks. He examines mechanisms driving inequity in faculty hiring, promotion, retention, and the disproportionate DEI labor assigned to racially minoritized faculty. His work is funded by NIH and NSF, and has appeared in leading journals like Journal of Higher Education and American Educational Research Journal . Key projects include ethnographic studies on faculty hiring inequities, an NSF-funded examination of DEI work in tenure evaluations, and COACHE data analysis on faculty retention. He has received awards including the 2020 Outstanding Dissertation Award and recognition from multiple academic associations. As a public scholar, he advises institutions on systemic change, equity strategies, and DEI initiatives, frequently featured in Inside Higher Ed and Diverse: Issues in Higher Education . His research emphasizes actionable interventions to improve academic workforce equity, including rubric-based hiring, mentorship frameworks, and institutional policy reforms. He collaborates with universities and organizations to translate research into practice, addressing structural barriers in higher education systems.