Dan Yavorsky

Dan holds a PhD in quantitative marketing and an MBA from the UCLA Anderson School of Management. His research interests lie at the intersection of marketing and statistics, and include econometrics, Bayesian modeling, and causal inference, often with the purpose of measuring consumer preferences to inform strategic business decisions. Key work from his dissertation is published in the journal Quantitative Marketing and Economics.

Dan teaches courses on customer analytics at UCSD and UCLA business schools at both graduate and undergraduate levels.

Education

• Doctor of Philosophy (PhD) UCLA Anderson School of Management (2014 — 2020.06)
• Master of Business Administration (MBA) UCLA Anderson School of Management (2011 — 2014)
• BA Claremont McKenna College (2002 — 2006)