جست‌وجوی استاد و پژوهشگر

Mungo Wilsonمشاهده پروفایل

استاد

• Asset Pricing
• Macroeconomics
• Credit Risk
• +۳ مورد دیگر

Mungo Wilson is a Professor of Finance at the Saïd Business School , University of Oxford, and an associate member of the Oxford-Man Institute of Quantitative Finance. He holds a PPE degree from Oxford, an MSc in Economics from LSE, and a PhD in Economics from Harvard. His research focuses on asset pricing, credit risk, mutual funds, and macroeconomic influences on financial markets. He has published extensively in top journals and engages actively with industry through board roles and advisory work. Education : Bachelor's in Philosophy, Politics & Economics (PPE), University of Oxford MSc Economics, London School of Economics PhD in Economics, Harvard University Research Interests : Assesses how macroeconomic conditions and credit risk shape asset prices Analyzes mutual fund behavior and market information transmission mechanisms Explores political dynamics' impact on financial markets His professional engagements include board memberships with funds like EA Asia Absolute Return Master Fund and advisory roles at Broadwell Capital. Teaching focuses on microeconomics for MBA programs, covering game theory, market structures, and price discrimination. Advisory & Grants : Supervises doctoral students at Saïd Business School and serves on programme committees for major finance conferences (e.g., European Finance Association, CEPR Annual Spring Symposium). Awards : While no specific prizes are listed, his impactful research has been widely cited and presented globally.

• Computational Linguistics
• Natural Language Processing
• Phonology
• +۶ مورد دیگر

Professor Janet B. Pierrehumbert is a leading academic in computational linguistics and natural language processing, holding the position of Professor of Language Modelling at the Oxford e-Research Centre, University of Oxford. She is also a Senior Research Fellow at Trinity College and affiliated with the Faculty of Linguistics, Philology and Phonetics. Her work bridges interdisciplinary research in phonology, sociolinguistics, and computational models of language dynamics. Education: PhD in Linguistics from MIT (1980), A.B. in Linguistics from Harvard University (1975). Research Interests: Focuses on computational linguistics, dialect variation, language dynamics, and the societal impacts of NLP. Her group develops algorithms for analyzing social media discourse, forecasting trends, and modeling language evolution. Recent work includes studies on dialect fairness in LLMs and semantic shifts in political discourse. Key Projects: EPSRC-funded research on online forum dynamics, the Wordovators project on lexical innovation, and collaborations with institutions like the Oxford Man Institute. Her work emphasizes robust NLP systems and theoretical linguistics. Awards: ISCA Medal (2020), National Academy of Sciences membership (2019), Fellowships from the American Academy of Arts and Sciences and Cognitive Science Society. Grants & Advising: Over £6M in research funding, including EPSRC and Templeton grants. Supervised over 30 PhD students and postdocs, many now leading academics and industry researchers in NLP and linguistics. Labs/Teams: Leads the Pierrehumbert Language Modelling Group, collaborating with the Oxford e-Research Centre and international partners like Stanford and the University of Canterbury.

• AI for Business
• Data Science
• Responsible AI
• +۵ مورد دیگر

David Martens is a Professor of Data Science at the University of Antwerp , where he directs the Applied Data Mining Research Group within the Faculty of Business and Economics . He also serves as Chair of the Department of Engineering Management and Director of the Antwerp Center on Responsible AI . His academic work spans data mining , interpretable machine learning , and the societal impact of AI . PhD in Applied Economic Sciences (KU Leuven, 2008) Director, Antwerp Center on Responsible AI Chair, Department of Engineering Management Martens' research focuses on responsible AI and data ethics , with applications in finance, public policy, and behavioral analysis. His recent publications emphasize counterfactual explanations , LLM interpretability , and privacy implications in AI systems. His articles reveal trends in Explainable AI (XAI) , including narrative-driven explanations , graph neural networks , and ethical challenges like monetization risks and algorithmic bias. Keywords span Computer Science , Artificial Intelligence , and Behavioral Data . Martens is a leading voice in data science ethics , authoring the book Data Science Ethics: Concepts, Techniques, and Cautionary Tales (Oxford University Press, 2022). He combines academic rigor with industry experience, having consulted for banks, telecom firms, and startups in fraud detection and digital advertising .

Harry R. Lloydمشاهده پروفایل

استادیار

• Ethics
• Political Philosophy
• Philosophy of AI
• +۶ مورد دیگر

Harry R. Lloyd is an Assistant Professor of Philosophy at the University of North Carolina at Chapel Hill, serving as Core Faculty for the PPE Program and Research Affiliate at the Center for AI Safety. He joined UNC Chapel Hill in Fall 2025 after completing his PhD at Yale University, where his dissertation examined moral uncertainty and bargaining under Shelly Kagan. His academic foundation includes a Ph.D. in Philosophy from Yale University (2020-2025) and a first-class B.A. in Philosophy, Politics, and Economics from the University of Oxford's Lady Margaret Hall (2016-2019), where he graduated top of his cohort and won multiple prizes including the Hicks/Webb Medley Prize and Uehiro Essay Prize. He attended Monmouth Comprehensive School (2009-2016), becoming the first comprehensive school student to win Trinity College Cambridge's Philosophy Essay Prize. Lloyd's research integrates Ethics, Political Philosophy, and Philosophy of AI through innovative frameworks for moral uncertainty and bargaining theory. His work bridges abstract theory with urgent real-world applications in AI alignment, distributive justice, and urban policy. He critically examines how normative disagreement should be resolved in AI systems, challenges conventional views on gentrification's moral dimensions, and develops resource-rational approaches to contractualism in animal ethics and intergenerational justice. His publication trajectory reveals a cohesive intellectual project: advancing bargaining-theoretic solutions to moral uncertainty while applying these frameworks across AI safety, political philosophy, and bioethics. Recent work in Philosophical Studies and Ergo establishes novel connections between moral uncertainty and collective decision-making, while his Journal of Urban Affairs article redefines gentrification's ethical analysis beyond displacement metrics. Awarded significant fellowships and prizes including the Rocky Mountain Ethics Congress Young Ethicist Prize (2024) and Global Priorities Institute Essay Prize (2021), his honors demonstrate impact across multiple domains: Institute for Humane Studies Junior Fellowship (2025) Forethought Foundation Global Priorities Fellowship (2022-2024) Rocky Mountain Ethics Congress Young Ethicist Prize (2024) Global Priorities Institute Early Career Conference Programme (2022) Research funding includes the Global Priorities Fellowship (2022-2024) and Institute for Humane Studies Junior Fellowship (2025). He actively shapes academic discourse through peer review for journals including Philosophical Studies and Journal of Applied Philosophy, and co-organizes the Yale Moral Philosophy Working Group. Though newly appointed, his teaching portfolio spans Environmental Ethics, PPE Capstone, and Philosophy of Technology, building on Yale teaching experience where he served as primary instructor for Philosophy and Technology. Lloyd maintains active research affiliations with the Center for AI Safety and previously contributed as a Resident Fellow at Yale's Information Society Project (2023-2025). His collaborative networks extend to the Global Priorities Institute at Oxford and Happier Lives Institute, driving interdisciplinary work at the AI-society interface through regular presentations at PPE Society meetings and ethics conferences.

• Quantitative Finance
• Derivatives Pricing
• Asset Allocation
• +۲ مورد دیگر

Anna Battauz is an Associate Professor at Bocconi University, teaching undergraduate, graduate, and Ph.D. courses in Calculus, Quantitative Finance, Derivatives Pricing, Numerical Methods for Finance, and Continuous-Time Finance. She serves as Director of the MSc in Finance since 2022 and is a research fellow at IGIER (Innocenzo Gasparini Institute for Economic Research) and Baffi Carefin. Education: Ph.D. in Financial Mathematics from Scuola Normale Superiore in Pisa; Degree in Mathematics from the University of Udine. Research Interests: Anna specializes in Quantitative Finance, with a focus on asset/derivatives pricing, asset allocation, and optimal stopping. Her work bridges theoretical finance with practical applications in financial markets. Publications & Research Trends: Her recent articles explore American options, stochastic interest rates, quanto derivatives, and earnouts in M&A. Topics span mathematical finance, computational methods, and strategic corporate finance, emphasizing pricing models, optimization, and empirical analysis. Scientific Awards: Teaching Excellence Award, Bocconi University (2018) Research Excellence Award, Bocconi University (2014) Research Excellence Award, Bocconi University (2004) Refereeing & Affiliations: Anna acts as a referee for academic publications and contributes to research initiatives at IGIER and Baffi Carefin. Her expertise supports advanced financial modeling and policy development in dynamic market environments.

Anthony Niblettمشاهده پروفایل

استاد

• Artificial Intelligence
• Law
• Economics
• +۶ مورد دیگر

Anthony Niblett is a Professor and Canada Research Chair in Law, Economics, & Innovation at the University of Toronto Faculty of Law. He is an Affiliate Researcher with the Vector Institute for Artificial Intelligence and co-founder of Blue J, a startup leveraging AI for tax and legal professionals. Education: Ph.D. in Economics, Harvard University (2009) M.A. in Economics, Harvard University (2006) LL.B. (Honours), University of Melbourne (2003) B.Com. (Honours in Economics), University of Melbourne (2003) Bigelow Fellow, University of Chicago His research bridges artificial intelligence , innovation , and legal theory , with a focus on contract law , competition policy , and judicial behavior . He explores how machine learning transforms legal practice, regulatory frameworks, and judicial decisions. His work includes self-driving contracts , computational antitrust , and the personalization of law . Recent publications analyze AI’s role in legal disagreement , gender gaps in employment law , and computational merger reviews . His articles emphasize the intersection of technology , economics , and legal reform . Scientific Awards: Canada Research Chair in Law, Economics, & Innovation Bigelow Fellow, University of Chicago He serves as an Academic Advisor at the Future of Law Lab and contributes to Blue J , advancing AI applications in legal domains. His teaching includes Contract Law , Torts , and Economic Analysis of Law .

Snehal Banerjeeمشاهده پروفایل

استاد

• Financial Markets
• Behavioral Finance
• Liquidity
• +۵ مورد دیگر

Snehal Banerjee is a Professor of Finance at the Stephen M. Ross School of Business, University of Michigan. He holds the Michael R. and Mary Kay Hallman Faculty Fellowship. Previously, he served as Associate Professor at UC San Diego's Rady School of Management and Northwestern University's Kellogg School of Management. His research focuses on financial markets' information dynamics, liquidity, and behavioral aspects, particularly how investors process information and regulatory policies impact market efficiency. Education: Ph.D. in Finance from Stanford University (2007); B.A. in Economics, Mathematics, and Computer Science from Brandeis University (2002). He has advised multiple Ph.D. students now at institutions like Chinese University of Hong Kong and INSEAD. Research interests include investor disagreement, strategic trading, and transparency effects. Notable publications explore topics like SPACs' theoretical foundations, information acquisition strategies, and securities lending market dynamics. His work has received awards including the RFS Young Researcher Prize and the AES Notable Working Paper Award. Teaching spans PhD and MBA courses in finance theory, asset pricing, and financial management. He serves on editorial boards for Journal of Financial Economics and Management Science, and has held roles in academic service committees at both Ross and Rady Schools.

Bonnie Honigمشاهده پروفایل

استاد

• Democratic Theory
• Feminist Theory
• Cultural Studies
• +۵ مورد دیگر

Bonnie Honig, Nancy Duke Lewis Professor at Brown University, holds joint appointments in Modern Culture and Media and Political Science , with courtesy roles in Religious Studies and Theater and Performance Studies . Her scholarly work intersects democratic theory , feminist critique , and cultural analysis , examining how inherited political narratives shape collective action. Education: PhD (Johns Hopkins, 1989), MSc (London School of Economics, 11981), BA (Concordia University, 1980) Central to her research is a reexamination of classical texts like Sophocles' Antigone and Euripides' Bacchae to develop agonistic democratic models . Her Antigone, Interrupted (2013) challenges heroic readings of Antigone, proposing instead a collective feminist politics rooted in textual counter-interpretations. Public Things: Democracy in Disrepair (2017) argues for shared objects as democratic orientation devices , while Emergency Politics (2009) analyzes crisis responses beyond Schmittian frameworks. The 2021 dual publications A Feminist Theory of Refusal and Shell Shocked: Feminist Criticism After Trump extend these themes through Trump-era analysis and queer theoretical lenses . Scientific Awards: 2023-24 Guggenheim Fellowship 2012 David Easton Prize 2012 Okin-Young Award 2007-08 American Philosophical Society Fellowship 1994 Scripps Prize Affiliated with the American Bar Foundation and Digital Democracy Group at Simon Fraser University, Honig's teaching spans feminist theory , Politics and Film , and advanced seminars on Arendt . Her Shell Shocked analysis of Trump-era disaster patriarchy connects classical feminist frameworks to contemporary political crises.

Ali Lazrakمشاهده پروفایل

دانشیار

• Asset Pricing
• Corporate Finance
• Behavioral Finance
• +۵ مورد دیگر

Ali Lazrak is an Associate Professor at the Sauder School of Business , University of British Columbia , specializing in Finance . He holds the Peter Lusztig Professorship in Finance and teaches courses such as International Financial Markets and Institutions and Theory of Finance (2024-2025). His research bridges Political Economy , Asset Pricing , and Behavioral Finance , with a focus on ESG concerns , Voting Theory , and Time Inconsistency . Education: ENSAE (B.Sc.), Sorbonne (M.Sc.), Toulouse (Ph.D.) Contact: Henry Angus Building (HA 872), +1 604.822.9481, ali.lazrak@sauder.ubc.ca His work explores group decision-making in corporate investment, green finance (e.g., the green premium in ESG markets), and time-inconsistent preferences in continuous games. Recent publications highlight how responsible consumption and demand elasticity shape asset prices, and how institutional divestiture impacts harmful asset stranding through informational and economic channels. Scientific accolades include the Jacob Gold & Associates Best Paper Prize (2019), Best Paper Awards at HEC-McGill, UBC, Luxembourg, and Stanford conferences, and the Peter Lusztig Professorship . His methodological expertise spans stochastic control , recursive utility , and dynamic equilibrium analysis .

• Return-based trading strategies
• Stock return co-movement
• Liquidity
• +۴ مورد دیگر

Allaudeen Hameed is the Tang Peng Yeu Professor in Finance at the National University of Singapore (NUS) Business School , where he has been a Professor since 2006. He also holds editorial roles at several leading finance journals and has previously held visiting positions at the Chinese University of Hong Kong, University of North Carolina at Chapel Hill, and University of Texas at Austin. Education: Ph.D. in Finance, University of North Carolina at Chapel Hill Bachelor of Business Administration (Honours), Second Class Upper Division, National University of Singapore Research Interests: His research spans a wide range of topics in finance, including return-based trading strategies , stock return co-movement , liquidity , the role of financial analysts , and international financial markets . These interests are deeply rooted in empirical asset pricing, market microstructure, and behavioral finance. His work often explores how market frictions, investor behavior, and institutional features affect asset prices and trading strategies, with a strong focus on cross-country and emerging market contexts. Scientific Awards & Honors: Asian Finance Conference Best Paper Award – 2024 Pacific Basin Finance Journal Best Paper Award – 2024 UM Distinguished Visiting Scholar, University of Macau – 2024 Best Paper of PERC Award – 2023 Tun Ismail Mohamed Ali Distinguished Chair, Universiti Kebangsaan Malaysia – 2022–2024 Teaching Excellence Team Award, NUS Business School – 2020 Best Paper Awards, FMA – 2016 & 2018 Outstanding Researcher Award, NUS Business School – 2015 & 2003 University of North Carolina Kenan-Flagler Alumni Merit Award – 2011 Professional Service: He serves as Editor of the International Review of Finance and Associate Editor of the Journal of Financial and Quantitative Analysis and Pacific-Basin Finance Journal . He is also a Senior Fellow at the Asian Bureau of Financial and Economic Research (ABFER) and a former Council Member of the Society for Financial Studies. Leadership Roles: He is currently Chair of the Faculty Promotion & Tenure Committee (FPTC) and Chair of the Faculty Promotion in Educator Track Committee (FPEC), both from 2025–2026.

Andrea Vedolinمشاهده پروفایل

استاد

• International Finance
• Financial Economics
• Asset Pricing
• +۳ مورد دیگر

Andrea Vedolin is a Professor of Finance at the Questrom School of Business, Boston University. He is also a Research Associate at the National Bureau of Economic Research (NBER) and a Research Affiliate at the Centre for Economic Policy Research (CEPR). His research focuses on international finance, asset pricing, and macroeconomic uncertainty, with particular emphasis on exchange rate dynamics, risk premia, and monetary policy effects. Vedolin holds a Ph.D. in Economics from the University of Lugano (2010). His work spans topics such as bond risk premia, variance risk across assets, and the impact of central bank communication on financial markets. Key contributions include analyses of global factor structures in exchange rates, the role of uncertainty in shaping asset prices, and the modeling of systemic risk in international contexts. His research often integrates theoretical frameworks with empirical evidence to address questions in macro-finance and financial economics. Vedolin’s articles explore themes like interest rate risk management, liquidity in international markets, and the interplay between economic uncertainty and credit markets. His studies frequently employ advanced econometric techniques and model-free approaches to derive insights about market behavior and policy implications. Despite his prolific output, no specific scientific awards or grants are mentioned in the provided texts. His advising record and lab affiliations remain unspecified, though his work suggests involvement in collaborative projects with institutions like NBER and CEPR. The summary highlights his role as a leading scholar in understanding how uncertainty and policy regimes influence financial markets globally.

Lara Buchakمشاهده پروفایل

استاد

• Decision Theory
• Ethics
• Epistemology
• +۶ مورد دیگر

Lara Buchak is a Professor of Philosophy at Princeton University, where she returned after 12 years at UC Berkeley. Her work bridges decision theory, ethics, epistemology, and the philosophy of religion. She holds a Ph.D. from Princeton (2009). Her research focuses on risk analysis in decision-making, ethical implications of risk attitudes (e.g., climate policy, biomedical ethics), and the rationality of faith. Notable contributions include her 2013 book *Risk and Rationality*, which argues that diverse risk preferences can be rational. Current projects explore faith as commitment despite counterevidence and the role of worst-case arguments in ethics. Her recent articles emphasize normative theories beyond expected utility, applications of decision theory to climate and biomedical ethics, and philosophical analyses of faith and tradition. She has also engaged with free will, group decision-making, and religious definitions. Buchak’s work intersects formal philosophy with practical ethics, offering frameworks to address complex societal challenges through rigorous theoretical foundations.

Muhamet Yildizمشاهده پروفایل

استاد

• Economic Theory
• Game Theory
• Microeconomics
• +۳ مورد دیگر

Muhamet Yildiz is a Professor of Economics at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Economics within the School of Humanities, Arts, and Social Sciences. His research focuses on Economic Theory, Game Theory, and Microeconomics, with significant contributions to strategic communication, bargaining, and higher-order uncertainty. He teaches advanced courses such as Microeconomics III, Game Theory, and Advanced Topics in Game Theory. Yildiz’s research explores foundational questions in economic theory, including how communication, beliefs, and strategic interactions shape outcomes in uncertain environments. His work has addressed topics like the fragility of Bayesian learning, reputation dynamics in repeated games, and the implications of optimism in bargaining scenarios. Key contributions include analyses of global games, common belief foundations, and the impact of information structures. He has published extensively in top journals such as Econometrica , Journal of Economic Theory , and Review of Economic Studies . His recent work includes studies on equilibrium shifts in crises and the theoretical underpinnings of communication with unknown perspectives. Yildiz advises on graduate and advanced undergraduate courses, maintaining a strong commitment to academic mentorship. His office is located in E52-522, and his assistant is Kim Scantlebury.

Hanno Sauerمشاهده پروفایل

دانشیار

• Normative Ethics
• Metaethics
• Moral Psychology
• +۴ مورد دیگر

Dr. Hanno Sauer is an Associate Professor at Utrecht University's Department of Philosophy and Religious Studies, affiliated with the Ethics Institute. His research focuses on normative ethics, metaethics, and moral psychology, with particular attention to moral cognition, debunking arguments, and the nature of moral progress. He leads the ERC-funded project 'The Enemy of the Good: Towards a Theory of Moral Progress' (PROGRESS, 2019–2024). Sauer has authored books on moral judgment, intuition, and moral progress. His work bridges philosophy, cognitive science, and empirical ethics. He has presented widely at international conferences and universities, addressing topics such as moral disagreement, dual-process models, and the role of emotions in moral judgment. Research interests include the psychological foundations of moral cognition, epistemology of moral judgment, and the mechanisms of moral evolution. He critiques dual-process theories and advocates for a moderate rationalist view of moral reasoning. Sauer's recent publications explore moral progress, moral intuitionism, and the ethical implications of cognitive biases like the Knobe Effect.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.