Find Academic Supervisors

• International Relations
• Global Governance
• Regulatory Politics
• +4 more

Joselyn Muhleisen serves as a Lecturer in the Department of Public Affairs at the Marxe School of Public and International Affairs, Baruch College, City University of New York. She teaches core courses including Citizenship and Public Affairs, Comprehensive Public Policy & Administration, and capstone seminars in Public and International Affairs, with active teaching assignments extending through Spring 2025. Her academic foundation includes: PhD in Political Science, The Graduate Center, CUNY (2016) MPhil in Political Science, The Graduate Center, CUNY MA in European Union International Relations and Diplomacy, College of Europe Brugge, Belgium BS in Public Affairs and English, Baruch College Dr. Muhleisen's research centers on international regimes, regulatory politics, and global governance , with specialized expertise in trade/financial regulation within transatlantic frameworks. Her scholarship critically examines EU-US regulatory convergence, Brexit's implications for global finance, and the institutional dynamics of international organizations. She has established herself as a leading voice in comparative policy analysis through foundational texts and systematic field reviews. Her 2016-2020 publications reveal a cohesive scholarly trajectory focused on advancing methodological rigor in comparative policy studies. The works collectively analyze historical evolution, theoretical frameworks, and cross-national applications of policy analysis, with particular emphasis on European and transatlantic contexts. This body of work demonstrates consistent engagement with both classical scholarship and contemporary developments in governance studies. Her honors include: Fulbright Study Grant to European Union (2007-2008) Getting to Know Europe Grant (European Commission) Doctoral Student Research Grant (2011) 23rd Street Scholarship for Excellence in Public Affairs (2007) Alfred Zweifach Award (2007) Colin Powell Fellowship (2007) Grant for Internship Travel to Romania (2005) USA Today Best and Brightest Nomination (2005) As Faculty Advisor since 2015, she mentors honors students and serves on multiple committees including the Excelsior Service Fellowship Committee and Undergraduate Honors Program Committee. Her grant portfolio features significant research funding including Fulbright and European Commission support for transatlantic regulatory studies. She actively contributes to academic governance through the Journal of Comparative Policy Analysis Award Committee and International Comparative Policy Analysis Forum leadership. She maintains active collaboration with the International Comparative Policy Analysis Forum as an officer and regularly presents at major conferences including the European Union Studies Association. Her research network includes prominent scholars like Iris Geva-May and Diane Hoffman, with ongoing projects examining post-Brexit financial governance structures.

• Household Finance
• Banking
• Behavioral Economics
• +4 more

Claire Célérier is an Associate Professor of Finance at the Rotman School of Management, University of Toronto, where she holds the Canada Research Chair in Household Finance. Her academic career spans prestigious institutions including the University of Toronto (where she advanced from Assistant to Associate Professor between 2016-2022) and the University of Zurich (2014-2016). She maintains an affiliation with the People's History Lab and actively contributes to academic discourse through conference organization including 'Race, Equity and Public Policy' (2023) and 'Banks, States and the People' (2024). Dr. Célérier's research explores how finance can benefit households through multiple lenses including behavioral economics, asset pricing, and financial history. Her work investigates innovation in finance, diversity and inclusion impacts, and historical perspectives on financial systems. She has developed significant expertise in household finance, banking, and the intersection of finance with social issues, particularly racial disparities in financial markets as demonstrated in her award-winning research on the Freedman's Savings Bank. Her scholarly output shows a clear trajectory from foundational work on security design and investor behavior toward increasingly socially relevant research on financial inclusion, racial equity, and household financial decision-making. Recent publications demonstrate her growing focus on historical contexts of financial systems and their contemporary implications, particularly regarding marginalized communities. Canada Research Chair in Household Finance (2024) Bank of Canada Governor's Award (2022) University of Toronto Top 5% Merit Award (2021) Petro Canada Young Innovators Award Program (2021) Multiple Rotman School of Management Teaching Awards (2019-2021) Ieke van den Burg Prize for Research on Systemic Risk (2015) Dr. Célérier has successfully secured substantial research funding including Insight Development Grants (CAD 54,500), Connaught Research Grant (CAD 10,000), and the Marianne and Marcus Wallenberg Foundation Grant (EUR 400,000). She mentors several PhD students including Andrada Bilan (2020), Alexey Vasilenko (2023), and Purnoor Tak (Expected 2026), and has supervised numerous master's theses at both University of Toronto and University of Zurich. Her service contributions include Rotman School of Management MBA program committee, executive committee, seminar coordination, and faculty recruiting committee.

Panos IpeirotisView profile

Professor

• Crowdsourcing
• Machine Learning
• Human-AI Collaboration
• +7 more

Panos Ipeirotis is a Professor at the Leonard N. Stern School of Business at New York University, affiliated with the Department of Technology, Operations, and Statistics. He also serves as the George A. Kellner Faculty Fellow and is associated with the Center for Data Science and Computer Science departments at NYU. PhD in Computer Science (Columbia University, 2004) MSc in Computer Science (Columbia University, 2001) BSc in Computer Engineering & Informatics (University of Patras, 1999) His research spans crowdsourcing, machine learning, human-AI collaboration, online labor markets, and social media analytics. He pioneered human-machine loop systems that combine human and machine intelligence to achieve superior outcomes. His work has applications in data quality assurance, visual media search (e.g., Google Project Glass), and economic valuation of user-generated content. Recent publications focus on algorithmic fairness in hiring systems, occupational segregation analysis, and theoretical advancements in crowdsourcing consensus mechanisms. Earlier work includes foundational studies on data quality in crowdsourcing platforms, economic impacts of product reviews, and query optimization for text-centric tasks. 2015 Lagrange Prize in Complex Systems NSF CAREER Award SIGKDD Test of Time Award (2020) Multiple Best Paper awards (WWW 2011, KDD 2008, SIGMOD 2006) He has received significant grants, including a $1.5 million Google Research Grant (2013) for integrating crowdsourcing with machine learning algorithms. His work bridges computer science, economics, and social psychology, with implications for policy-making and business strategy.

Erniel Bayhon BarriosView profile

Professor

• Computational Statistics
• Nonparametric Methods
• Data Science/Big Data Analytics
• +5 more

Erniel Bayhon Barrios is a Professor at the Malaysia School of Business, Monash University. Formerly a professor at the University of the Philippines Diliman and a visiting scholar at Karlstad University (Sweden) and the Asian Development Bank Institute (Japan). He holds a PhD in Statistics (1990) from the University of the Philippines Diliman. His research focuses on computational statistics, nonparametric methods, data science, and computational econometrics, with applications in spatiotemporal modeling, time series, and financial markets. He has contributed to high-dimensional data analysis, volatility modeling, and robust statistical techniques. Key projects include the National Mental Health Survey and Well-Being (2019–2021) and building a data-driven organization for the Habib Group (2025–2026). He is an elected member of the International Statistical Institute (2012), associate editor of Communications in Statistical Applications and Methods , and served on the board of the International Association of Statistical Computing (2022–2025). He advises PhD students on topics like stochastic frontier models, data assignment in big data, and high-frequency time series analysis. His work aligns with UN Sustainable Development Goals related to education and economic growth.

Andrew PostlewaiteView profile

Professor

• Game Theory
• Behavioral Economics
• Social Norms
• +3 more

Andrew Postlewaite is the Harry P. Kamen Professor of Economics and Professor of Finance at the University of Pennsylvania's School of Arts and Sciences. He holds dual roles in the Department of Economics and the Ronald O. Perelman Center for Political Science and Economics. As a distinguished academic, he is a member of the American Academy of Arts and Sciences and serves as a director at the National Bureau of Economic Research (NBER). Additionally, he is the founding editor of the American Economic Journal: Microeconomics and a research associate at Penn's Population Studies Center and Institute for Law and Economics. Postlewaite's research focuses on game theory, behavioral economics, and social norms, with contributions to mechanism design, repeated games, and intergenerational transmission of preferences. His work bridges theoretical foundations with applied economic analysis, particularly in areas like consumer behavior, decision-making, and institutional design. He has held visiting positions at institutions including Caltech, Harvard, and Stanford, reflecting his academic prominence. His scholarly contributions include pioneering studies on future-oriented decision-making, interdependent valuations in markets, and equilibrium concepts in repeated games. Recent publications explore topics such as the impact of local media accessibility in the digital age and the welfare implications of consumption fluctuations. His editorial leadership at journals like Econometrica and International Economic Review underscores his influence in shaping economic discourse. Awarded prestigious fellowships and editorial roles, Postlewaite's career exemplifies a blend of rigorous theoretical research and practical applications in economics. His current research trends emphasize behavioral insights and the methodological underpinnings of economic models, reflecting a commitment to advancing both theory and real-world relevance.

Nihar B. ShahView profile

Associate Professor

• Machine Learning
• Peer Review Systems
• Algorithmic Fairness
• +4 more

Nihar B. Shah is an Associate Professor at Carnegie Mellon University with joint appointments in the Machine Learning and Computer Science departments within the School of Computer Science. His research focuses on developing theoretically grounded algorithms for evaluating scientific work, with applications in peer review, fairness, and human-AI collaboration. His work has impacted over 100,000 research papers and grant evaluations. Education: Ph.D. in EECS, UC Berkeley M.E. in Telecommunications, Indian Institute of Science B.Tech. in Electronics, NIT Karnataka Research Interests: Shah's group investigates the science of evaluation through machine learning, optimization, and large-scale experiments. Key areas include peer review systems, algorithmic fairness, LLM applications in science, and human-AI collaboration frameworks. Research addresses fundamental questions about research validity, funding allocation, and equitable assessment. Publication Trends: Recent work focuses on improving peer review through randomized controlled trials, security against collusion, LLM-based review systems, and bias mitigation. Publications consistently appear in premier venues (NeurIPS, PLOS ONE, AAAI) with growing emphasis on real-world deployments. Awards & Honors: Young Alumnus Medal (IISc 2024) NSF CAREER Award (2020-2025) Google Research Scholar Award (2021) Multiple best paper awards (HCOMP, ICLR) Research Group & Funding: Leads a focused research team with NSF, Google, and JP Morgan support. Alumni hold positions in academia and industry. Current projects involve large-scale evaluations of scientific work and algorithmic fairness.

• Market Design
• Mechanism Design
• Game Theory
• +4 more

Marek Pycia serves as Professor of Organizational Economics at the University of Zurich and Co-Director of the Zurich Center for Market Design. His research has driven tangible policy impacts including the U.S. kidney-transplant voucher program and school system redesigns, with publications in premier journals like American Economic Review and Econometrica . His academic foundation includes a Ph.D. in Economics from the Massachusetts Institute of Technology (MIT), complemented by prior faculty roles at UCLA, Pennsylvania State University, and Leon Koźmiński Academy of Entrepreneurship and Management, plus a visiting fellowship at Princeton University. Professor Pycia specializes in Market Design and Mechanism Design , where he bridges theoretical microeconomics with real-world applications in healthcare allocation and educational systems. His work emphasizes strategyproofness , simplicity , and efficiency in matching markets, influencing both academic frameworks and practical policy implementations globally. Recent publications (2024-2025) reveal a concentrated focus on simplifying mechanism design for discrete environments, advancing double auction theory, and optimizing information structures in trade. These works consistently apply game-theoretic principles to solve complex allocation problems across healthcare, education, and financial markets. Key recognition includes: Research Fellow at the Centre for Economic Policy Research (CEPR) Editorial board membership at Theoretical Economics , Journal of Economic Theory , and Games and Economic Behavior While specific grant details remain unmentioned, his editorial leadership and center directorship indicate active research funding. He supervises graduate work through the University of Zurich’s economics programs, though no named students appear in the source text. The Zurich Center for Market Design, which he co-directs, functions as an interdisciplinary hub connecting theoretical research with practitioners in healthcare, education, and public policy to implement novel market mechanisms.

Soroush SaghafianView profile

Associate Professor

• Operations Research
• Healthcare Delivery Optimization
• Public Policy Analytics
• +3 more

Soroush Saghafian is an Associate Professor of Public Policy at Harvard Kennedy School, specializing in applying operations research and machine learning to address public health challenges. He leads the Public Impact Analytics Science Lab (PIAS-Lab), focusing on analytics-driven solutions for societal problems. His research spans healthcare delivery optimization, emergency department efficiency, and public health policy. Notable collaborations include Massachusetts General Hospital and Harvard's Center for Health Decision Science. Awards include the INFORMS MSOM Responsible Research Award and the Pierskalla Award for healthcare research. Recent work includes studies on hospital closures' impacts, predictive analytics for bipolar disorder using Fitbit data, and policy implications of race in disease risk models. He teaches courses on machine learning and big data for public impact.

Eduardo AzevedoView profile

Professor

• Microeconomic theory
• Market design
• Selection markets
• +4 more

Eduardo Azevedo is the John M. Bendheim and Thomas L. Bendheim Professor of Business Economics and Public Policy at the Wharton School , University of Pennsylvania. He holds a courtesy appointment as Professor of Economics and was awarded the 2016 Sloan Foundation Fellowship. His research integrates economic theory with practical applications across science and business domains. His research interests include: Market design Selection markets Social science genetics Experimental economics Game theory Recent publication trends focus on: Economic theory applications to healthcare and digital markets Empirical Bayes methods in A/B testing Adverse selection in insurance markets Strategic behavior in two-sided matching Evolutionary behavioral economics He serves as an instructor for BEPP2500 - Managerial Economics , emphasizing real-world application of microeconomic theory to business problems. His work also involves software development for economic research, including MATLAB-based empirical Bayes tools for analyzing treatment effects in large-scale experiments. Scientific awards : Sloan Foundation Fellow (2016)

Vanessa SamouëlianView profile

Associate Clinical Professor

• Gynecological Oncology
• Cervical Cancer
• Endometrial Cancer
• +3 more

Vanessa Samouëlian, MD, PhD, serves as an Associate Clinical Professor in the Department of Obstetrics and Gynecology at the University of Montreal. Based at the Montreal University Hospital Center (CHUM), she specializes in gynecological oncology within the Gynecological Oncology division. Her institutional roles include leading Tumor Board meetings and serving as a service representative on CHUM's medical act evaluation committee and the University of Montreal externship committee. Her educational background includes: MD from University of Montpellier 1, France (1992-1998) Certificate of Clinical and Therapeutic Synthesis and Master's in Biological/Medical Sciences (1998) IUD in Colposcopy and Cervicovaginal Pathology (1999) DES in Gynecology-Obstetrics from University of Lille 2, France (2005) PhD from Biology-Health Doctoral School, University of Lille 2 (2007) Clinical Fellowship in Gynecology Oncology at CHUM (2009-2011) Dr. Samouëlian's research centers on gynecological malignancies with emphasis on cervical, endometrial, and vulvar cancers. She investigates molecular biomarkers for nodal metastasis, treatment outcomes in high-risk endometrial carcinoma, and surgical innovation including robotic techniques. Her work bridges clinical oncology, cancer pathology, and HPV vaccination strategies through national collaborations. Her 2015-2016 publications reveal a cohesive research trajectory focused on endometrial cancer through the Canadian High Risk Endometrial Cancer (CHREC) Consortium. Key themes include adjuvant therapy optimization, pathological pattern analysis (MELF invasion), and surgical training innovation using virtual reality simulation. These works demonstrate integration of clinical practice, molecular diagnostics, and surgical education within gynecologic oncology. Within CHUM's organizational structure, Dr. Samouëlian contributes to the Historical Assignment Team and Gynecological Oncology division. She co-developed the Contemporary Clinical Questions on HPV-Related Diseases and Vaccination booklet with Gynecologic Oncology Canada and Merck Canada, endorsed by major Canadian gynecological societies including the Society of Obstetricians and Gynaecologists of Canada.

Vishal AhujaView profile

Associate Professor

• Healthcare Operations
• Operations Management
• Service Operations
• +7 more

Vishal Ahuja is an Associate Professor and Corrigan Research Professor at Southern Methodist University's Cox School of Business, with adjunct faculty status at University of Texas Southwestern Medical Center. He focuses on decision analytic tools for healthcare improvement through operations management. PhD, University of Chicago Booth School of Business MBA, University of Chicago Booth School of Business His research interests span healthcare operations, service optimization, and AI applications in clinical decision-making. He collaborates with the Department of Veterans Affairs, Parkland Hospital, and pediatric institutions to address care quality and delivery efficiency. Recent publications emphasize predictive modeling for chronic disease management, adaptive clinical trial design, and regulatory healthcare policy. Awards include the Dlin/Fischer Clinical Research Award (2021), INFORMS Pierskalla Award (2012), and 2025 AI75 recognition for Dallas-Fort Worth AI leadership. D CEO Excellence in Healthcare Award - Outstanding Healthcare Innovator (2023) NSF Game Changer Academies for Advancing Research Innovation (2022) C. Jackson Grayson Faculty Innovation Award (2022-23) At SMU, he teaches graduate courses in operations, supply chain, and service management, integrating corporate sector experience from chemical and consumer goods industries. His work has been cited by the FDA in safety labeling changes workshops.

Ashley BraganzaView profile

Professor

• Artificial Intelligence
• Change Management
• Strategy Implementation
• +4 more

Professor Ashley Braganza serves as Dean of Brunel Business School at Brunel University London and holds the Chair in Business Transformation. He founded and co-directs Brunel's interdisciplinary Research Centre for Artificial Intelligence (established 2018), which includes a dedicated AI Lab and forms part of Brunel's broader AI Ecosystem. His leadership secured £3.5 million in grants during the 2022/23 academic year and a recent €5.8 million ELOQUENCE EU project (2024-2027). His academic qualifications include a PhD in Organisational Change and Information Systems from Cranfield University and an MBA in Strategic Management Responsibility from the University of Strathclyde. Professor Braganza's research centers on artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation-enabled information systems . His practice-based approach stems from over 40 major consultancy projects with global organizations including BT, Microsoft, McDonald's, Astra Zeneca, and UN agencies. He champions interdisciplinary experiential learning and rigorous academic research with real-world applications. Analysis of his 15 most recent publications reveals dominant trends in applying AI and digital technologies to healthcare supply chains, blockchain governance, and socioeconomic challenges like digital poverty. His work consistently bridges operations management, information systems, and social sciences while examining human-organizational impacts of technological transformation. His distinguished recognition includes: Election to the British Academy of Management College of Fellows for 25+ years of scholarly contribution and community service Professor Braganza has directed significant research initiatives including the British Academy-funded digital poverty study in Margate, UK-India collaborative projects on AI in healthcare productivity, and curriculum development for special needs trainers. His consultancy assignments with major corporations have co-created practical frameworks for implementing complex organizational change programs. He founded and chairs the British Academy of Management Special Interest Group in Transformation, Change and Development, and directs Brunel's AI: Social and Digital Innovation Research Centre, fostering cross-disciplinary collaboration through the Operations and Information Systems Management Research Group (OISM).

Divya Jayakumar NairView profile

Senior Lecturer

• Transportation Engineering
• Disaster Management
• Network Design and Optimization
• +4 more

Dr. Divya Jayakumar Nair serves as Senior Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), where she also holds the position of Associate Dean International – South Asia for UNSW Engineering. Her academic work is centered at the Research Centre for Integrated Transport Innovation (rCITI), focusing on transportation systems, network optimization, and disaster management applications. Dr. Nair's research interests span transportation engineering, disaster management, and urban mobility systems. Her work investigates complex network design problems, particularly in pre-disaster evacuation planning, transportation resilience, and food rescue logistics. She employs advanced analytical methods including traffic equilibrium modeling, network optimization techniques, and data-driven approaches to solve real-world transportation challenges with significant societal impact. Her recent publications demonstrate a strong focus on transportation resilience during disasters, with particular attention to equity considerations in pre-event planning. Dr. Nair's research shows how transportation networks can be optimized to improve emergency response while ensuring equitable access to safety for all population segments. Her work bridges theoretical network optimization with practical applications in urban environments facing climate-related challenges. Dr. Nair collaborates extensively with leading researchers in transportation including S. Travis Waller, Vinay V. Dixit, David Rey, and Taha Rashidi. Her collaborative approach spans multiple institutions and addresses pressing challenges in urban transportation systems worldwide.

• Software Engineering
• Data Analytics
• Mining Software Repositories
• +5 more

Ahmed E. Hassan is a Professor and Canada Research Chair in Software Analytics at the School of Computing, Queen's University. He serves as NSERC RIM Industrial Research Chair and leads the Software Analysis and Intelligence Lab (SAIL). Dr. Hassan pioneered the Mining Software Repositories (MSR) conference and co-edited special issues in the IEEE Transactions on Software Engineering and the Journal of Empirical Software Engineering on MSR topics. Education Ph.D. in Computer Science, University of Waterloo (2005) MMath in Computer Science, University of Waterloo BMath in Computer Science, University of Waterloo His research focuses on software analytics, mining software repositories, and systems engineering. Projects at SAIL include analyzing version control systems, predicting software defects, and improving software quality through empirical methods. The lab's work spans software evolution, architecture analysis, and debugging of distributed systems. Dr. Hassan has taught courses like CISC 322: Software Architecture and CISC 880: Mining Software Engineering Data at Queen's University, University of Victoria, and University of Waterloo. His teaching philosophy emphasizes hands-on learning with tools like WEKA and R, and includes project-based assignments using MSR Challenge datasets. Scientific Awards NSERC RIM Industrial Research Chair in Software Engineering Canada Research Chair in Software Analytics He has industrial experience from RIM (Blackberry platform), IBM Research (Almaden Lab), and Nortel Networks. Dr. Hassan is a named inventor on patents in the US, Europe, Canada, Japan, and India. SAIL lab is funded by NSERC, ORF, CFI, and industry partners.

Mehran SahamiView profile

Teaching Professor

• computer science education
• machine learning
• information retrieval
• +3 more

Mehran Sahami is the James and Ellenor Chesebrough Professor in the School of Engineering and Tencent Chair of the Computer Science Department at Stanford University. He holds the academic rank of Teaching Professor of Computer Science and is also a Senior Fellow by courtesy at the Freeman Spogli Institute for International Studies. As a Bass University Fellow in Undergraduate Education, he has made significant contributions to computer science education at Stanford. Dr. Sahami earned both his undergraduate and PhD degrees from Stanford University's Computer Science Department. After completing his PhD, he worked as a Senior Engineering Manager at Epiphany before joining Google as a Senior Research Scientist from 2002-2007, while also teaching as a Lecturer at Stanford. In 2007, he joined the Stanford faculty full-time, continuing to consult part-time at Google until 2010. Professor Sahami's primary research interests focus on computer science education, machine learning, and information retrieval on the Web. His work has significantly influenced how computer science is taught globally, particularly through his leadership in the ACM/IEEE-CS Joint Task Force on Computing Curricula 2013 (CS2013). He has pioneered approaches to teaching introductory programming and probability theory for computer scientists, with a particular emphasis on analyzing student performance trends as CS enrollments have grown dramatically. His recent publications demonstrate a strong shift toward educational research while maintaining connections to technical expertise in machine learning and data analysis. Bass University Fellow in Undergraduate Education Professor Sahami serves as the ACM Steering Committee Chair for the CS2013 effort to define international curricular guidelines for undergraduate computer science programs. He is also the founder and first Chair of the Symposium on Educational Advances in Artificial Intelligence (EAAI), an annual meeting for researchers and educators to discuss pedagogical issues in teaching AI. He has received significant grant funding through these initiatives and has been instrumental in shaping national and international computer science curriculum standards. At Stanford, he teaches CS106A: Programming Methodology and CS182: Ethics, Public Policy, and Technological Change, with his educational materials widely distributed through the Stanford Engineering Everywhere initiative. Professor Sahami maintains connections to the startup ecosystem through advisory board positions and has published a book on Text Mining with Ashok Srivastava. His career trajectory from industry researcher to academic educator gives him a unique perspective on practical applications of computer science education.