Nicholas Ross received his PhD from UCLA's Anderson School of Management in 2012. His research interests revolve around how asymmetric information affects decision making and using data to understand those effects. Most recently he has worked on a number of cloud-based systems which use machine learning and other data science techniques to extract information from complex data sources.
Prior to receiving his PhD, Nick worked as a litigation consultant at Bates White in Washington DC and San Diego, where he answered math questions for lawyers. After graduating from UCLA and before his time at USF, he spent over four years working in video games at two San Francisco based companies. At TinyCo, an Andreessen-Horowitz backed startup, he led the Analytics and User Acquisition teams and at Sega, he was director of analytics. At USF Nick teaches a number of courses which focus on bridging the gap between the academic, entrepreneurial, and industrial practices of data science.
- Ph.D., Anderson School of Business, University of California, Los Angeles, California, 2012
- M.A., Economics, University of California, Davis, California, 2007
- B.A., Applied Mathematics, Honors, University of California, Berkeley, California, 2002
- Selected Publications
A Theory of Participative Budgeting (With Mirko Heinle and Richard Saouma) The Accounting Review, May 2014.