About Me

I am a PhD candidate in Statistics at Cornell University, developing statistical theory and methods for learning, prediction, and decision-making under uncertainty. My research draws on Bayesian inference, statistical decision theory, time series, and deep learning. I am particularly interested in developing new methods with rigorous theoretical foundations, motivated by real-world problems in finance, healthcare, and beyond.