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.
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. Finally, my research has also received media coverage from outlets like VentureBeat, Scientific American, Axios, Marginal Revolution, State of the AI. Two prestigious AI reports cited my work: The National Security Commission on Artificial Intelligence and Stanford AI Index (2021).
I am co-organizing two symposia at AOM 2022,
Corporate R&D Disclosure (panelists: David Hsu, Hong Luo, Sharon Belenzon, Deepak Hegde, Raffaele Conti)
Scientists within Corporate Environment (panelists: Matt Marx, Waverly Ding, Anita McGahan, Keyvan Vakili, Denisa Mindruta).
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)
I have received an R&R from SMJ.
I recently chaired the organizing committee of the 3rd Toronto Fintech Conference.