I am a Postdoctoral associate at MIT Sloan & MIT CSAIL. I completed my PhD in Strategy from Ivey Business School, Canada, and have an engineering degree in Computer Science majoring in AI. My research focus is broadly on Innovation, Entrepreneurship and Technology Strategy. 

I will be on the 2023-24 academic job market. 

The ability to benefit from investment in basic scientific research concerns both large firms and startups. Drawing on the burgeoning literature of "science of science," I examine the factors that motivate firms to pursue basic scientific research and voluntarily disclose them in the public domain (e.g., publications, patents). To this end, I build a research program for corporate R&D using Artificial Intelligence as an empirical context. In particular, I propose the Iceberg Model of R&D Disclosure Strategy, which details the notion that firms tend to minimize outgoing knowledge (e.g.,  “secrecy” is the preferred channel) and selectively reveal internal knowledge strategically (e.g., timing, topics, content). Further, I examine the role of specialized assets like human capital (scientists), computing power, and data in innovation processes. Drawing on strategic management literature, and using Big Data, Machine learning (NLP methods like word embedding), and interviews, I build testable models of the world that can help managers and policymakers to make better decisions.