I’m a 5th year PhD candidate in the Department of Decision, Operations & Information Technologies (DOIT) at UMD Smith School of Business. Starting in July 2020, I will be an Assistant Professor in the department of Technology, Operations, and Statistics (TOPS) at NYU Stern School of Business.
I extensively use Python, Stata, R and MATLAB along with modern data/text mining tools, deep learning techniques and econometrics to address empirical questions on
- Tackling excessive screening on online sharing platforms such as Airbnb.
- Tackling “over-seeking” sensitive user information on mobile platforms such as Android.
- Enabling interactions between content providers and viewers on Smart TVs.
- Studying the economic impact of institutional forms such as Seed Accelerators.
Research Focus: Platform Self Regulation, Information Privacy, Mechanism Designs, Asymmetric Information
Methodology: Econometrics, ML (Deep Learning), Textual Analysis, Field Experiments
My dissertation research investigates the impact of platform policy changes that reduce the imbalance between different sides of an online platform. My dissertation has gained immensely from my interactions with my committee which includes Prof. Siva Viswanathan (chair of the committee), Prof. Peng Huang, Prof. Rajshree Agarwal, Prof. Gordon Gao and Prof. Anna Alberini.