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Georgia E. Smits

About Me

I am currently a postdoctoral scholar researching anomaly detection under Tyler H. McCormick in the Department of Statistics at the University of Washington.

I received my PhD in Statistics from Cornell University in December of 2025. I was advised by Professor David S. Matteson with additional mentorship from my committee members Professor Sumanta Basu and Professor Martin T. Wells. My work focused on developing Bayesian and machine learning methods for complex, noisy time series data.

Research Interests

Time Series: Changepoint detection, Bayesian trend filtering, Stochastic processes, Time series classification, Rashomon sets

Machine Learning: Algorithmic bias reduction, Synthetic data generation, Model compression techniques

Education

PhD in Statistics, Cornell University

MS in Statistics, Cornell University

BS in Physics (Intensive), Yale University

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