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.
I will be on the academic job market (2023-24).
For more information, please see my CV
I broadly study Innovation, Artificial Intelligence and Responsible AI. My overarching research question: How do firms develop and deploy emerging technologies (e.g., AI) in a socially beneficial manner (e.g., responsible AI) and maintain competitive advantage?
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, have an R&R from SMJ, 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, Le Monde, 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
AI as a General Purpose Technology (panelists: Rob Seamans, Florenta Teodoridis, Neil C Thompson)
Corporate Innovation & Nonmarket Strategy (panelists: Jiao Luo, Francisco Polidoro) with Niki West
Science of Science & Management (James Evans, Ina Ganguli, Yian Yin) with Jackie Lane, Michael Rose
Received an acceptance at Science (March 2023)
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)
Panelists: Riitta Katila, Jorge Guzman, Florenta Teodoridis
I have chaired the organizing committee of the 3rd Toronto Fintech Conference (December 2020)