Pandas + Spacy + Nashpy + OpenAI Gym
Crypto-Economics + Stable Coins
Storyboard + Shiny/Streamlit
RL + GLM + Bayesian Inference
Topic Modeling + Psychology + Alternative Datasets
Tidyverse + WandB
Methodologies
The main focus of my research is on building macroeconomic simulation models that can be used for realistic counterfactual economic experiments. How to design these simulations to capture the strategic interactions, quantify the trade-offs and shape the incentive structure in welfare maximizing directions?
Three key methodologies I am applying for more realistic experiments for digital platforms such as data marketplaces are as follows:
Currently, I am working as a Postdoctoral Researcher at ANRG, Autonomous Networks Research Group Lab, with Prof. Bhaskar Krishnamachari as my advisor. Key research questions for the ongoing projects are about the design and implementation of a credible review system for data products, on a decentralized data marketplace.
I love learning from big messy data and gather insights from rigorous statistical analysis for making decisions under uncertainty. I aspire to apply approaches in statistical ML/AI to build models and frameworks that capture the complexity of economic and financial systems and understand the changing nature of interactions on emerging digital platforms, to make them trustworthy and user-friendly.
Text as Data, Fall 2021
University of Southern California
Statistical Computing, Spring 2020
Cornell University
Learning with Big Messy Data, Fall 2020
Cornell University
Mathematics + Macroeconomics + Machine Learning
“There are no simple solutions, only intelligent decisions.”