Statistics PhD Student | Computational Statistics & Probabilistic Machine Learning
Hi! I am a PhD student in the Department of Statistics at Penn State, advised by Prof. Murali Haran. I expect to complete my PhD in May 2028.
My research develops computational statistics and probabilistic machine learning methods for complex stochastic models with intractable likelihoods. I use simulations and neural networks to estimate model parameters and quantify uncertainty, with applications to infectious disease models. I am broadly interested in simulation-based inference, statistical computing, and intractable likelihood problems.
Before Penn State, I earned my bachelor’s degree in Mathematics from UT Austin, where I was mentored by Dhivya Arassapan and Dr. Jeanne Kowalski.
Teaching
Penn State — Graduate Teaching Assistant
- STAT 100, Statistical Concepts and Reasoning (Summer 2025)
- STAT 200, Elementary Statistics (Summer 2024, Fall 2024)
- STAT 414, Introduction to Probability Theory (Fall 2023, Spring 2024, Fall 2025)
- STAT 461, Analysis of Variance (Spring 2025, Fall 2026)
- STAT 540, Statistical Computing (Spring 2026)
UT Austin — M 378K, Mathematical Statistics (Undergraduate Grader, Fall 2021)
