Find Academic Supervisors

• Econometrics
• Financial Time Series Analysis
• Bayesian Statistics
• +3 more

Lennart Oelschläger is a researcher at Universität Bielefeld , affiliated with the Faculty of Business Administration and Economics and specifically the Department of Empirical Methods . He serves as a research assistant to Prof. Dr. Bauer and contributes to the Bielefeld Graduate School in Theoretical Sciences as a member. His work focuses on econometric modeling and financial data analysis, with a particular emphasis on discrete choice modeling and decision-making heterogeneity. His research includes the development of computational tools like the fHMM package for hidden Markov model applications in financial time series analysis and the RprobitB package for Bayesian probit choice modeling. He also serves as an E-Learning Officer in the Faculty of Business Administration, demonstrating his commitment to digital teaching initiatives. His publications highlight innovative applications of hidden Markov models for financial market regime detection, Bayesian estimation techniques, and numerical optimization methods. His work bridges theoretical statistics with practical applications in financial econometrics and behavioral economics.

Hao XingView profile

Associate Professor

• Mathematical Finance
• Stochastic Control
• Asset Pricing
• +5 more

Hao Xing serves as an Associate Professor of Finance at Boston University's Questrom School of Business, maintaining an active research program in mathematical finance and financial economics. His office is located in the Rafik B. Hariri Building at 595 Commonwealth Avenue, Boston. Dr. Xing's research spans several critical areas in modern finance, with particular emphasis on stochastic control applications , executive compensation structures , and environmental economics . His recent work examines pollution-incentive misalignment in executive contracts, rational inattention in discrete choice models, and the unintended consequences of circuit breakers in financial markets. He frequently presents at top international seminars including the London School of Economics, Bielefeld University, and the Bachelier Congress. His publication record demonstrates significant impact across premier finance journals including the Journal of Finance , Journal of Financial Economics , Management Science , and Mathematical Finance . Recent research trends show increasing focus on sustainable finance applications and behavioral aspects of portfolio choice under model uncertainty. Honors include: Best paper award in sustainable finance and ESG (World Finance Conference 2024) Best paper in Corporate Finance (Southwestern Finance Association 2023) Dr. Xing teaches graduate courses in the MS in Mathematical Finance & Financial Technology program, including Fundamentals of Finance (MF702), Fixed Income Securities (MF728), and Advanced Machine Learning Applications for Finance (MF815). His research integrates deep mathematical techniques with practical financial applications, particularly in portfolio optimization and contract theory. While no formal lab structure is mentioned, his work often involves sophisticated computational methods for solving stochastic control problems.

Frank LupiView profile

Professor

• Environmental and Resource Economics
• Ecosystem Services
• Conservation Economics
• +5 more

Professor Frank Lupi holds a joint tenure system appointment in the Department of Agricultural, Food, and Resource Economics and the Department of Fisheries and Wildlife at Michigan State University . He is affiliated with the Partnership for Ecosystem Research and Management , the Center for Systems Integration and Sustainability , the Water Science Network , and the Environmental Science and Policy Program . His research focuses on the economics of ecosystem services, conservation, agriculture, fisheries, wildlife, and water resources. Ph.D. , Applied Economics, University of Minnesota (1997) M.S. , Agricultural Economics, University of Illinois (1988) B.S. , Economics, University of Illinois (1986) Professor Lupi’s research interests span recreational demand and valuation , discrete choice modeling , stated preference methods , and applied welfare economics . His work emphasizes quantifying the value of ecosystem services through empirical studies on nutrient pollution, water sustainability, and recreational activities. Recent publications focus on phosphorus management in the Great Lakes, beachgoer preferences for water quality, wildfire risk impacts on recreation, and conservation cost-benefit analyses. These studies intersect disciplines like agricultural economics , ecological economics , and public policy . Awarded the William J. Beal Outstanding Faculty Award in 2018, Professor Lupi has secured grants from institutions including the NSF , EPA , and NOAA . His advisory roles and collaborations with interdisciplinary teams underscore his impact on environmental and resource economics.

• Algorithmic Game Theory
• Theory of Computation
• Artificial Intelligence
• +9 more

Simina Branzei is an Associate Professor of Computer Science at Purdue University, where she joined in Spring 2018. Her research spans multiple areas at the intersection of theoretical computer science, game theory, and economics, with a focus on developing rigorous theoretical frameworks for understanding complex systems. Dr. Branzei's research interests include algorithmic game theory, theory of computation, artificial intelligence, algorithms, learning, computational complexity, and their interfaces with dynamical systems and optimization. Specific topics she has worked on include fair division, markets and auctions, games, learning dynamics, and local search processes. Her research is supported by an NSF CAREER Award, a prestigious grant recognizing early-career faculty who demonstrate exceptional potential for leadership in their field. Analysis of her publication record reveals consistent contributions to understanding computational aspects of economic and social systems. Her work shows particular expertise in computational complexity of fixed point problems, fair allocation mechanisms, market dynamics, and game theoretic models. She has developed novel theoretical frameworks for analyzing cake cutting protocols, market equilibria, and strategic behavior in multi-agent systems. NSF CAREER Award IBM Ph.D. Fellowship Google Anita Borg Memorial Scholarship Dr. Branzei actively mentors graduate students in theoretical computer science, with current Ph.D. student Reed C. Phillips. Her past mentees include Nicholas J. Recker (Ph.D.) and Nithish Kumar (Master's). She has been instrumental in organizing academic workshops including the ACM EC 2024 Mentoring Workshop, Mini-Symposium on Games and Learning at CanaDAM 2023, and Workshop on Fair Division at FOCS 2022, demonstrating leadership in building research communities. She teaches graduate courses including Algorithm Design, Theory of Computation, and Algorithmic Game Theory, as well as undergraduate courses in algorithms and theory of computation, shaping the next generation of computer scientists with strong theoretical foundations.

• Machine Learning
• Revenue Management
• Forecasting
• +3 more

Misuk Lee serves as Associate Professor in the Department of Management at Seattle University's Albers School of Business & Economics. Her expertise spans Machine Learning, Revenue Management, and Forecasting with specialized applications in hospitality and transportation industries. Education: PhD in Industrial Engineering, Georgia Institute of Technology BS and MS in Industrial Engineering, Seoul National University Dr. Lee's research integrates advanced machine learning techniques with business strategy to solve complex revenue management problems. Her work focuses on developing predictive models for hotel demand forecasting, airline booking conversion, and dynamic pricing optimization. Recent publications demonstrate innovative applications of k-Nearest Neighbor algorithms and neural networks to move beyond traditional accuracy metrics in hospitality revenue systems. Scientific Awards: No awards listed in available information Dr. Lee maintains strong industry connections from her tenure as business consultant and data scientist at IBM and Intercontinental Hotels Group. Her teaching in Programming for Business Analytics, Machine Learning, and Capstone Projects bridges academic theory with practical implementation. While specific grant details aren't provided, her publication record indicates active research in revenue management systems with industry collaboration. Though no formal lab is mentioned, Dr. Lee leads research initiatives in business analytics with emphasis on hospitality applications, collaborating with industry partners to develop practical forecasting solutions for real-world revenue management challenges.

Farhad MohsinView profile

Assistant Professor

• Computational Social Choice
• Fairness in Machine Learning
• Preference Aggregation
• +4 more

Farhad Mohsin is an Assistant Professor in the Department of Math and Computer Science at College of the Holy Cross in Worcester, MA. He earned his PhD in Computer Science from Rensselaer Polytechnic Institute (RPI) between 2018-2023, working with Professor Lirong Xia, and completed his BSc in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology (BUET) from 2010-2015. Prior to his academic career, he worked as a Telecommunications Engineer/Data Analyst at Grameenphone Ltd, Bangladesh. Dr. Mohsin's research focuses on computational social choice, particularly preference aggregation and fair decision-making. He explores ML-based techniques for designing economic mechanisms, with specific interest in fairer voting rules. His broader research interests include natural language processing, interpretable machine learning, and multi-agent reinforcement learning. His recent publications (2021-2024) examine computational complexity of voting paradoxes, election data generation using deep learning, and natural language-based preference aggregation. His work has appeared in top venues including IJCAI, AAMAS, and JAIR. Dr. Mohsin teaches courses including Data Mining, Data Structures, Analysis of Algorithms, Discrete Structures, and Advanced Algorithms. He supervises undergraduate research projects, with recent honors theses on multi-agent reinforcement learning and fairness in zoning laws.

• Industrial Organisation
• Competition Economics
• Econometrics of Dynamic Games
• +3 more

Philipp Schmidt-Dengler is University Professor of Economics at the University of Vienna and Vice-Dean of its Faculty of Business, Economics and Statistics. He is also Research Affiliate of the Centre for Economic Policy Research (CEPR) and Research Fellow of the Mannheim Centre for Competition and Innovation (MaCCI), among other international affiliations. Education Ph.D. in Economics, Yale University, December 2005 M.A. in Economics, Queen’s University, October 2000 B.A. in Economics, University of Vienna, March 1998 Research Interests Professor Schmidt-Dengler’s research lies at the intersection of industrial organisation , applied econometrics and competition policy . A major strand develops structural methods for estimating dynamic oligopoly games and applies them to study entry, investment and technology adoption. A second strand analyses consumer search, price dispersion and the effects of indirect taxation in retail markets. Recent work also evaluates health-care market reforms, auction design and the impact of state aid on firm survival. Scientific Awards & Fellowships Zellner Thesis Award, American Statistical Association (2006) AER Excellence in Refereeing Award (2010) Young Economist Award, Austrian Economic Association (2008) Young Economist Essay Award, E.A.R.I.E. (2005) Carl Anderson Prize Fellowship, Cowles Foundation (2004) Yale and Queen’s University Graduate Fellowships Research Funding “Business Use of Digital Platforms”, OeNB Jubiläumsfonds (2020-23) “Understanding Consumer Search”, Austrian Science Fund (FWF, 2018-21) “Individual Behaviour and Aggregate Economic Outcomes”, FWF Doctoral School (2017-20, Speaker) DFG SFB-TR15 Grant on “Stability, Competition and Liquidity in Financial Markets” (2012-15) ESRC Award on “General Pre-emption Games” (2006-07) Editorial & Professional Service He served as Co-Editor of the International Journal of Industrial Organization (2014-21), Associate Editor of the Review of Economic Studies , Journal of Applied Econometrics , Journal of the European Economic Association and is Editor of the Journal of Industry, Competition and Trade . He has advised the Bank of Canada, the UK Competition Commission and the Austrian Competition Authority.

• Civil Procedural Law
• Private International Law
• Transnational Uniform Law
• +5 more

Professor Stefan Huber holds the Chair of Civil Law, Civil Procedure and Insolvency Law, European and International Private and Procedural Law at the University of Tübingen's Faculty of Law. His office is located in Room 229 of the New Auditorium at Geschwister-Scholl-Platz, Tübingen, with consultation hours available after lectures and by appointment. Professor Huber's research focuses on civil procedural law, private international law, and transnational uniform law, employing a comparative law approach. Current projects examine the use of digital technology, particularly artificial intelligence, in civil procedural contexts and the management of civil proceedings involving similar subject matters. His scholarly output demonstrates expertise across European civil procedure, international commercial arbitration, and the evolving landscape of digital justice. His extensive publication record includes recent works on AI in civil procedure, European private international law developments, and procedural rights frameworks. Professor Huber has contributed significantly to the field through monographs such as 'Erfüllungshaftung Vertragsfremder' (2017) and 'Entwicklung transnationaler Modellregeln für Zivilverfahren' (2008), which received the Serick Prize 2007. Professor Huber is actively involved in academic governance as coordinator of the 'Structure of Civil Litigation' research group within the 'Comparative Procedural Law and Justice' project, member of the German Council for International Private Law, and secretary of the Civil Law section of the Society for Comparative Law (2013-2022). He serves as co-editor of IPRax journal and several book series, and participates in international research collaborations focused on European civil procedure harmonization. In teaching, Professor Huber offers courses on civil law obligations, civil procedure, international private law, and co-directs the 'Law and Rhetoric' program with Professor Olaf Kramer. He also supervises student teams in the Willem C. Vis International Commercial Arbitration Moot and has led Tübingen teams to victory in competitions such as the Justus Liebig Moot Court.

Jason ShachatView profile

Visiting Professor

• Experimental Economics
• Behavioural Game Theory
• Behavioural Operations Management
• +2 more

Jason Shachat serves as the Dunn Distinguished Visiting Professor of Economics within the Economic Science Institute at Chapman University. He earned his B.S. in Mathematical Economics from Tulane University (1988) and Ph.D. in Economics from the University of Arizona (1997). Prior to Chapman, he held full-time academic positions at the University of California – San Diego, National University of Singapore, and Xiamen University, and was a research scientist at IBM TJ Watson Research Lab. His primary research areas include experimental economics , behavioural game theory , behavioural operations management , asset markets , and auctions . His work has been published in top-tier journals including Management Science , Marketing Science , Economic Journal , and Journal of Economic Theory . Analysis of his recent publications (2022-2025) reveals a strong emphasis on experimental asset markets, auction mechanisms, and the behavioral implications of epidemics (e.g., COVID-19) on social preferences and market efficiency. His research often involves cross-cultural studies and the application of experimental methods to real-world economic problems, with increasing focus on algorithmic trading impacts and cognitive factors in decision-making. Shachat has secured significant competitive research funding from the Economic and Social Research Council (ESRC) (UK), the National Science Foundation (NSF) (USA), and the Ministry of Education (MOE) (China). He is actively affiliated with the Economic Science Institute at Chapman University, which provides the infrastructure for his experimental research and collaboration with international scholars through cross-cultural studies and large-scale experimental designs.

Krystian BirrView profile

Assistant Professor

• Public Transport
• Transport Accessibility
• Intelligent Transport Systems
• +4 more

Dr. Krystian Birr serves as an Assistant Professor at the Department of Transportation Engineering within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. His academic career focuses on advancing transport systems through research in public transport optimization, accessibility, and sustainable urban mobility solutions. His research interests span Public Transport , Transport Accessibility , Intelligent Transport Systems , Urban Mobility Planning , and Transport Modeling . Dr. Birr has developed specialized methodologies for bicycle traffic modeling, public transport punctuality analysis, and accessibility management for integrated interchanges, particularly emphasizing the needs of passengers with special requirements. His publication record demonstrates consistent contributions to sustainable mobility, with recent works examining cycling promotion campaigns, tram safety assessments, and metropolitan transport integration. The research shows a clear trajectory toward practical applications that directly inform transport policy and infrastructure planning in Polish urban centers. As project manager for the T-Included initiative (funded by GOSPOSTRATEG), Dr. Birr leads research analyzing transport exclusion in Poland and developing legislative recommendations for public collective transport. His collaborative work extends to EU-funded projects including ERASMUS+ initiatives focused on sustainable urban mobility education and European road safety partnerships. Dr. Birr maintains active engagement with operational transport management through the TRISTAR traffic control system, applying research findings to real-world urban mobility challenges in the Tricity area (Gdańsk-Gdynia-Sopot).

• Behavioral Law and Economics
• Empirical Legal Studies
• Contract Law and Theory
• +4 more

Eyal Zamir is the Augusto Levi Professor of Commercial Law at Hebrew University of Jerusalem, where he previously served as Dean of the Faculty of Law. He founded the Aharon Barak Center for Interdisciplinary Legal Studies and co-founded the Center for Empirical Studies of Decision-Making and the Law. His visiting appointments include Harvard Law School, Yale Law School, NYU School of Law, and other leading global institutions. Professor Zamir's research integrates behavioral economics, empirical analysis, and normative ethics to examine legal systems. Key domains include: Behavioral law and economics, particularly cognitive biases in litigation and contracting Empirical studies of judicial decision-making and policy effectiveness Contract theory and enforcement mechanisms across legal traditions Normative frameworks for regulatory design and ethical constraints His publication trends reflect sustained focus on experimental jurisprudence, with recent work analyzing mandatory rules, legal reasoning biases, climate policy inertia, and comparative contract enforcement. Articles frequently employ behavioral experiments and large-scale doctrinal comparisons. Major scientific recognitions include: Fulbright Researcher Award Zeltner Prize for Senior Scholar Hebrew University President’s Prize for Excellent Young Scholar Justice Shneor Zalman Cheshin Prize for Academic Excellence Professor Zamir leads the Aharon Barak Center, which fosters interdisciplinary collaborations between law, economics, and psychology. His work has influenced global legal scholarship through translations of books into Chinese and Serbian.

Mengxiao ZhangView profile

Assistant Professor

• Online learning and bandits
• Reinforcement learning
• Game theory
• +3 more

Mengxiao Zhang is an Assistant Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa, holding this position since August 2024. His research develops theoretically grounded machine learning algorithms for practical business applications, with expertise spanning online learning, bandit problems, and game-theoretic optimization. His academic foundation includes: Ph.D. in Computer Science from the University of Southern California (2018-2024), advised by Prof. Haipeng Luo Bachelor's degree from Peking University (2014-2018), advised by Prof. Liwei Wang Zhang's research bridges theoretical machine learning with operational business challenges, focusing on adaptive algorithms that maintain performance guarantees in non-stationary environments. His work addresses core problems in regret minimization, efficient exploration, and equilibrium computation, with increasing emphasis on supply chain optimization, auction design, and fair multi-agent systems. He designs methods that function effectively under constraints like delayed feedback, budget limitations, and unknown demand distributions. Analysis of his 15 most recent publications (2022-2025) reveals a consistent trajectory toward business-relevant applications while maintaining theoretical rigor. Key trends include contextual bandit extensions for advertising auctions, supply chain optimization under uncertainty, and fairness-aware multi-agent learning. His contributions appear in top-tier venues including COLT, ICML, and NeurIPS, with notable recognition including a NeurIPS 2020 Oral presentation. No scientific awards are documented in the provided materials. Zhang teaches Database Management (BAIS-3200) at the University of Iowa and previously served as teaching assistant for multiple graduate algorithms and machine learning courses at USC. No information regarding research grants or student advising is available in the source materials. No dedicated laboratory or research team structure is specified in the provided information.

• Empirical Industrial Organization
• International Trade
• Automobile Industry
• +4 more

Jonas Slaathaug Hansen is a Postdoctoral Researcher (Research Fellow) at the Department of Economics, University of Copenhagen, specializing in Empirical Industrial Organization and International Trade with a focus on automobile industry dynamics and firm-to-firm trade networks. His research investigates market competition, supply chain shock transmission, and secondary market interactions through structural modeling of consumer behavior and firm linkages. Utilizing Danish-Swedish register data, he examines how superstar firm relationships drive productivity spillovers and how dynamic demand models capture nuanced substitution patterns in durable goods markets. Recent publications analyze secondary market effects on automotive market power, comparative performance of discrete choice demand models under tax reforms, and productivity impacts of supplying multinational superstar firms. These studies advance methodologies for merger analysis, policy evaluation, and understanding cross-border knowledge diffusion in global supply chains.