Bio: I am an Assistant Professor of Marketing at the Marshall School of Business, University of Southern California. I have a PhD from Carnegie Mellon University. Outside my life as an academic, I have spent more than 5 years developing financial technology to mitigate financial risks for Goldman Sachs. Given this background, I expertise at the cross section of Marketing, AI and FinTech.
On the research front, I am currently interested in economic implications of AI, Blockchain and other disruptive technologies in Marketing. My most active work examines Zillow’s ML based pricing for homes and Bitcoin’s pricing for payments. I highlight issues of pricing, adoption, interpretability and bias. I also teach graduate Digital Marketing course at Marshall.
Dissertation: Applications and Economics of ML and Blockchain Technologies
Committee: Kannan Srinivasan, Param Vir Singh (co-chairs), Nitin Mehta, Bryan Routledge.
Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness
Can Banks survive the next financial crisis?: A Generative Adversarial Network for Bank Stress Testing.
Role of naïve consumers in Initial Coin Offerings (ICO)
Bayesian Finger: A Variational Bayes EM method for customer feedback attribution in Web Scale Data Analytics Stack
Awards and Fellowships
Dipankar and Sharmila Chakravarti Doctoral Fellowship Award 2020.
AMA-Sheth Foundation Doctoral Consortium Fellow, 2020.
PNC Presidential Fellowship, 2019-20.
Henry J. Gailliot Presidential Fellowship, CMU 2019-20.
Ripple Foundation Fellow, 2019-20.
ISMS Doctoral Consortium Fellow, 2019.
Litzenberger Family Fund Award, CMU, 2018-19.
Best Conference Paper nomination, CIST INFORMS 2018.
Best Student Paper, CIST INFORMS 2017.
William Larimer Mellon Fellowship, CMU 2016.
Best Electrical Engineering Undergraduate Thesis, IIT Delhi 2011.