I am a fifth-year PhD Candidate in Statistics in the Department of Statistics and Data Science at Cornell University, advised by Professor David S. Matteson and with mentorship from my committee members Professor Sumanta Basu and Professor Martin T. Wells. My work focuses on developing Bayesian and machine learning methods for complex, noisy time series data.
Time Series: Changepoint detection, Bayesian trend filtering, Stochastic processes, Time series classification
Machine Learning: Algorithmic bias reduction, Synthetic data generation, Model compression techniques
(In progress) PhD in Statistics, Cornell University
MS in Statistics, Cornell University
BS in Physics (Intensive), Yale University
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