A little about me

I am a doctoral candidate in the Political Science department at Columbia University. My academic journey has been enriched by diverse experiences, including roles as a Research Specialist II at Princeton University’s Empirical Studies of Conflict and predictive analytics fellow at the UN OCHA’s Centre for Humanitarian Data. Currently, I serve as a Research Fellow at the United Nations Department of Peace Operations, where I develop open-source large language models to detect and analyze disinformation campaigns. Previously, I worked as a Data Consultant at FiveThirtyEight, where I worked on backtesting and sensitivity analysis of Bayesian election forecasting models for improving reliability.

As a computational social scientist, I am motivated to transform how we study human behavior by integrating foundational social science frameworks with innovative computational approaches. Using machine learning, large language models, and advanced statistics, I aim to uncover complex patterns shaping our digital society.

My research interests include Causal Inference, Machine Learning, Bayesian Statistics, Forecasting, Survey Methods, Geospatial Data Analysis, Experimental Methods, Social Media, and Political Behavior.

The latest copy of my resume is here.