I’m a 5th year PhD candidate in Information Systems (minor in Economics) at the Robert H. Smith School of Business of the University of Maryland. 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.
- Repercussions to mobile apps when they strategically delay adopting a new Android platform privacy mechanism
- Economic impact of informational interventions that facilitate interaction between content providers and TV viewers on a smart TV platform
- Economic impact of institutional forms such as Seed Accelerators.
Research Focus: Information Privacy, Platform Strategy, Sharing Economy, Mechanism Designs, Asymmetric Information
Methodology: Econometrics, Machine Learning (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.