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I am a graduating PhD student at the Center for Atmosphere-Ocean Science (CAOS) at the Courant Institute of Mathematical Sciences at New York University. My advisor is Laure Zanna.

My research focuses on understanding sea level variability on timescales ranging from the hourly to the seasonal. In particular, I seek to identify sources of predictability and quantify uncertainties associated with sea level variability using data-driven techniques (especially those which incorporate dynamical representations or permit probabilistic interpretation). I’m an affiliate of M2LInES and am supported by the VoLo Foundation.

Welcome to my website!

Gallery

Probabilistic forecasts of CESM2 dynamic sea level anomalies.

Autoencoder architecture based on Koopman operator theory for obtaining an improved dynamical propagator to forecast regional sea surface heights.

Predicted tide gauge nontidal residuals at Stone Harbor, NJ using quantile regression neural networks.