I am a PhD Candidate in CEE at the University of California, Berkeley, with minors in Computer Science and Econometrics & Causal Inference.
I am interested in expanding the methodological toolkit that we use to forecast human behavior and demand for travel. To do this, I draw from economics, statistics, and computer science, with a particular emphasis on:
- Causal inference;
- Learning from choice data;
- Simulation.
I work at Lawrence Berkeley National Lab (LBNL) in the BEAM group, where we build large agent-based models of regional transportation systems.
I hold a MS in Transportation Engineering from the University of California, Berkeley and a MEng in Aerospace Engineering from Imperial College London.
Before my PhD, I worked for five years as a consultant forecasting demand, modeling consumer behavior, and creating pricing strategies for governments and financiers who build and operate transportation infrastructure across the world. I am particularly fond of the metro systems in London, Delhi, and Mexico City as a result.