Email: nurahmed(AT)
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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 Appropriation 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.

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 and my working papers have been recognized at multiple conferences such as Best PhD Paper Prize (nominated, SMS), Max Boisot Award (finalist, EGOS), Best Paper in Strategy (won, AMCIS), Honorable Mention (won, ASAC), Best Paper Award (finalist, Israel Strategy Conference) among others. Finally, my research has also received media coverage from outlets like Financial Times, VentureBeat, Scientific American, Nature Medicine, Axios, 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).


I am co-organizing 2 PDWs and 1 symposium at AOM 2023 

Received an acceptance at Science (March 2023)

I am co-organizing two symposia at AOM 2022

I recently presented at the NBER Productivity Seminar (May 2022)

Organized a special SMS panel titled "The Promise and Potential Perils of Using Machine Learning Techniques in Management Research." (2021)

Panelists: Riitta Katila, Jorge Guzman, Florenta Teodoridis

I have chaired the organizing committee of the 3rd Toronto Fintech Conference (December 2020)