I am an Assistant Professor at Walton College of Business, University of Arkansas (since 2024) and a Faculty Fellow at MIT FutureTech. I completed my PhD in Strategy from Ivey Business School, Canada, and have an engineering degree in Computer Science majoring in AI.
I broadly study the strategy and governance of emerging technologies—AI, quantum computing, and clean energy. I'm interested in how firms, scientists, and governments balance private competitive advantage against socially responsible innovation, and how nonmarket forces like regulation and public funding shape who captures value from technological change.
Methodologically, I pair big data and machine learning with field interviews, drawing on strategic management and the economics of science to build testable models that inform both managerial and policy decisions.
Previously, I worked as a Software Engineer for Samsung R&D Lab in Bangladesh, India, and South Korea. My research is partly informed by experiences at such corporate labs.
I have published in Science, Communications of the ACM, and my working papers have been recognized at multiple conferences.
Finally, my research has also received media coverage from outlets like The New York Times, TIME magazine, Financial Times, The Atlantic, VentureBeat, Scientific American, Nature Medicine, Le Monde, Marginal Revolution, State of the AI. Three prestigious AI reports cited my work: The National Security Commission on Artificial Intelligence and Stanford AI Index (2021), National Artificial Intelligence Research Resource (2022).
July 2026. Quoted in Science on AI firms' publication strategies.
August 2026. Co-organizing the 4th annual PDW on Innovation, Regulation, and Nonmarket Strategy at the Academy of Management meeting. Panelists include Waverly Ding, Dashun Wang, Lori Yue, and Cheng Gao.
May 2025. Best Paper Award, Alliance for Research on Corporate Sustainability (ARCS), HEC Paris.
May 2025. Finalist, Responsible Research Paper Award, Strategic Management Society.
September 2024. Research covered by Nature news and Nature Index.
May 2024. Quoted in The New York Times on AI and open source.