I apply advances in computing, sensing, data engineering, machine learning, and artificial intelligence to improve transportation systems. I am currently a PhD student in the Department of Civil and Environmental Engineering at Carnegie Mellon University.

My research in the Mobility Data Analytics Center at Carnegie Mellon University examines the role of new and emerging technologies in transportation and their impacts on mobility. I focus on transportation network modeling with shared mobility, connected vehicles, and autonomous vehicles in order to develop strategies for their deployment.

Previously, I served as a data scientist at Bridj, a small firm designing and deploying a smart micro-bus platform for urban transit. I worked at the intersection of research and software engineering building models of transit demand and operationalizing our fleet routing optimization engine. Additionally, I served as a consultant to Transit Systems Austrlia during their acquistion of the Bridj software.

I graduated from the University of Chicago in 2012 with major in Mathematics and a minor in Computational Neuroscience.

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