About Me

I’m an Electrical Engineering (ECE) PhD student at Carnegie Mellon University interested in research in mathematical statistics and probability theory. In particular, some areas I’m excited about include game-theoretic statistics, bandits (collaborative, combinatorial, restless), and algorithmic game theory.

Currently, I am working on theoretical problems related to change point detection and sequential testing.

Previously, I was a joint Masters and Bachelors (MS/BS) in Electrical and Computer Engineering (ECE) at UT Austin, advised by Dr. Alex Dimakis. My Master’s thesis is titled “How Bilingual Speakers Manage Increased Cognitive Load in Their Non-Dominant Language.” A version of it was published as a paper in Interspeech 2025, presented in Rotterdam.

My past research has broadly focused on using tools from stochastic processes, game theory, and network science to address problems related to online decision making in social networks (including detection and control of disinformation) and in maternal care. In addition, I also study generative models, including optimized retrieval, data curation, and efficient post-training. As such, some of the applications I am most passionate about include equitable resource allocation in maternal/public health, speech and bilingual cognition, and credibility and misinformation in social networks. I’m also interested in stochastics for finance.