Hi! I am a machine learning engineer within the research team at Lyft known as Rideshare Labs. My work involves identifying and applying data-driven techniques to solve a range of challenging problems across the company, including forecasting, rider experience, incentives, and dispatch.
Prior to this, I completed a PhD in Physics at the University of Washington in Seattle, where I developed data driven methods for high dimensional time-series datasets.
My interests include a variety of domains, including, causal analysis, survival analysis, forecasting, reinforcement learning, and computer vision!