I am a PhD candidate in quantitative marketing at UCLA's Anderson School of Management; June 2020 graduation expected.
I am currently on the job market, seeking a role where I can research, teach, or implement data science.
My dissertation explores structural models of demand that incorporate the consumer search process. I empirically estimate one model using smartphone geolocation data that inform me of consumer shopping behavior in the U.S. auto industry.
My other research explores:
- how the political differences between current and prospective home locations affect single-family home shoppers,
- consumer reactions to unexpected quality upgrades on the Uber ride-sharing platform, and
- the effects on consumer health from shopping at warehouse clubstores.
I have 8 years of economic and litigation consulting experience, during which time I became a CFA charterholder. I received my MBA from UCLA Anderson in 2014 and my BA in economics and mathematics from Claremont McKenna College in 2006.
A few of my favorite things include sipping a cup of Philz iced coffee with my wife Alison, helping my son Zachary learn new things, hiking our dogs, and the speedy convergence of simulated maximum likelihood routines.