Email: nurahmed(AT)

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 focusing on AI. My research focus is broadly on Innovation, Entrepreneurship and Technology Strategy.

My research examines firms’ innovation and technology strategy, more specifically corporate R&D & economics of science. I examine the factors that motivate firms to pursue basic scientific research and voluntarily disclose internal research in the public domain (e.g., publications, patents). To this end, I build a research program of corporate R&D using Artificial Intelligence as an empirical context. Further, I examine the role of specialized assets like human capital, computing power and data in innovation processes. Drawing on strategic management literature, and using Big Data, Machine learning (NLP) and interviews, I build testable models of the world that can help managers to make 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.

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) among others.

My research has also received media coverages from outlets like VentureBeat, Scientific American, Axios, Marginal Revolution. Two prestigious AI reports also cited my work: The National Security Commission on Artificial Intelligence and Stanford AI Index (2021).

Latest News:

I am co-organizing two symposia at AOM 2022, one focusing on Corporate R&D Disclosure (panelists include: David Hsu, Hong Luo, Sharon Belenzon, Deepak Hegde, Raffaele Conti) and another focusing on Scientists within Coporate Environment (panelists include: Matt Marx, Waverly Ding, Anita McGahan, Keyvan Vakili, Denisa Mindruita).

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

I have received an R&R from SMJ.

I recently chair-ed the organizing committee of the 3rd Toronto Fintech Conference.