Faculty Affiliates

Tristan Fitzgerald

Tristan Fitzgerald is an Instructor of Finance at the Mays Business School, Texas A&M University. He is currently completing his PhD in Finance at the Haas School of Business, University of California Berkeley and has received a Bachelor in Commerce and a Bachelor in Laws from the University of Queensland, Australia. Motivated by his investment banking experience at J.P. Morgan and Macquarie Bank, Tristan is interested in understanding the impact of financial transactions and financial intermediaries on the real economy. In particular, he is interested in how financial markets and financial intermediaries may actively shape the nature of innovation that is undertaken by firms and entrepreneurs.  His research also considers how corporate managers and government regulations influence firm strategy and corporate outcomes.

Xiaoding Liu

Xiaoding Liu is an Assistant Professor of Finance at Texas A&M University. She received her PhD in Finance from the University of Florida. Her research focuses on corporate culture, corporate governance, initial public offerings, and technological innovation. Her papers have been published in the Journal of Financial Economics and the Review of Financial Studies. Her work has been presented at many academic institutions and conferences (e.g., American Economic Association, American Finance Association, European Finance Conference, American Accounting Association, National Tax Association, and National Bureau of Economic Research).


Sivakumar Rathinam

Dr. Sivakumar Rathinam is an Associate Professor in the Department of Mechanical Engineering at Texas A&M University. He received a Ph.D. degree from the University of California, Berkeley in 2007. He worked as a research scientist at the NASA Ames Research Center in California from 2007 to 2008. He has been at Texas A&M since 2009. He was awarded the Air Force Faculty Fellowship in 2015 and has received the best paper award in the 2015 International Conference on Unmanned Aircraft Systems. His research interests include autonomous vehicles, motion planning, optimization, vision based control, and air traffic control.


Dylan Shell

Dylan Shell is an associate professor of Computer Science and Engineering at Texas A&M University. He is a computer scientist, and his research aims to synthesize and analyze complex, intelligent behavior in distributed multi-agent (and robotic) systems. His work has been funded by the National Science Foundation, the Department of Energy, and DARPA. He has been the recipient of an NSF Career award, the Montague Teaching award, the George Bekey Service award, and multiple best reviewer awards. For academic year 2018-19 he is Mary Shepard B. Upson Visiting Professor in Engineering at Cornell University.

Alina Sorescu

Alina Sorescu is Professor of Marketing, holder of the Paula and Steve Letbetter’ 70 Chair in Business, and Director of the Ph.D. in Business Administration Program – Marketing at the Mays Business School, Texas A&M University. She holds a B.S. in Mathematics from University of Bucharest, a MS from University of Florida and Ph.D. from University of Houston. Her research focuses on innovation, business models, product portfolio decisions, branding, acquisitions and alliances, and measuring the financial value of marketing actions. Her research appears in journals such as Marketing Science, Journal of Marketing Research, Journal of Marketing, Journal of the Academy of Marketing Science, Journal of Retailing and others. Alina serves as an Associate Editor of the Journal of Marketing, where she was twice recognized with the best reviewer award and of the International Journal of Research in Marketing; she also currently serves on the editorial boards of the Journal of Marketing Research, Marketing Science and the Journal of the Academy of Marketing Science.

Her research awards include the Ricky W. Griffin Research Excellence Award, the Strategic Management Society conference on Big Bang Innovation Best Proposal Award, the AMA John A. Howard Dissertation Award, the AMS Mary Kay Dissertation Award, the AMA Winter Conference Best Paper in the Marketing and Technology track, as well as multiple MSI research grants. Her research has also been selected as a finalist for the Paul Green Award for the best article published in the Journal of Marketing Research.

Jesse Sowell

Jesse Sowell is an Assistant Professor in the Department of International Affairs at Texas A&M’s Bush School of Government and Public Service. His research focuses on the non-state institutions that ensure internet security and stability. Analytically, Sowell’s work combines internet operations, industrial political economy, and operations strategy to understand the supply and demand of institutional and organizational capabilities and capacities that make these institutions effective. Sowell’s ongoing Combined Capabilities Project explores how these transnational institutions engage with conventional state actors, in particular law enforcement and intelligence communities. This work incorporates notions of planned adaptation and consensus-based decision making in complex engineering systems. Sowell’s other projects include research on Internet exchanges as platforms supporting infrastructure services markets and the development of adaptive IoT security standards frameworks.

At Texas A&M, Sowell is an Assistant Professor (by courtesy) in the Department of Engineering Technology & Industrial Distribution; a Fellow in the Cybersecurity Center at the Dwight Look College of Engineering; and a Fellow in the Mays Innovation Research Center. Externally, Sowell is a Senior Advisor to the Messaging, Malware, and Mobile Anti-Abuse Working Group; a Senior Advisor to the Anti-Phishing Working Group; a Research Affiliate at Stanford’s Center for International Security and Cooperation, and an Honorary Lecturer in the Department of Science, Technology, Engineering, and Public Policy at University College London. Sowell earned a Ph.D. in Technology, Management, and Policy from MIT’s Engineering Systems Division in 2015.

Wei Wu

Wei Wu is an assistant professor of finance at Mays Business School, Texas A&M University. He received a Ph.D. in Finance from the Booth School of Business, University of Chicago in 2015. He also received a Ph.D. (2009) in Neuroscience and a M.A. (2009) in Financial Economics from Duke University. His current research focuses on investments, empirical asset pricing, information economics, and empirical corporate finance. In his recent work, he studies the causal impact of information asymmetry on the trading behavior of corporate insiders and the information contents of insider purchases after short interest spikes.