Avinash Collis
Assistant Professor in the Department of Information, Risk and Operations Management at McCombs School of Business
Biography
McCombs School of Business
I am an Assistant Professor in the Department of Information, Risk and Operations Management at the McCombs School of Business at The University of Texas at Austin. I am also a digital fellow at the Stanford University Digital Economy Lab and the MIT Initiative on the Digital Economy.
I hold a PhD in Information Technology from the Sloan School of Management at Massachusetts Institute of Technology. I do research on the Economics of Digitization and teach courses related to Technology Strategy. My research has appeared in the Proceedings of the National Academy of Sciences (3x), Nature Human Behavior and Harvard Business Review and covered in major media outlets and policy reports including the New York Times, Wall Street Journal, Washington Post, the Economist and reports by the US White House, Federal Reserve, Senate and UK treasury. I have also been invited to present my research at the OECD, IMF, US BEA, Bank of England and Bank Indonesia.
Companies
- Assistant Professor The University of Texas at Austin - Red McCombs School of Business (2020)
- Digital Fellow Digital Economy Lab @ Stanford University (2020)
- Digital Fellow MIT Initiative on the Digital Economy (2020)
- Research Assistant MIT Initiative on the Digital Economy (2015 — 2020)
- Business Development Contagt GMBH (2014 — 2014)
- Business Intelligence Alcatel-Lucent (2012 — 2013)
- Extreme Blue Intern IBM (2010 — 2010)
Education
- Bachelor's Degree Indian Institute of Technology, Delhi (2007 — 2011)
- Bachelor's Degree Ecole nationale supérieure des Mines de Saint-Etienne (2009 — 2009)
- High School Kendriya Vidyalaya (1995 — 2005)
Videos
How Should We Measure the Digital Economy?
The Economics of Digitisation
How should we measure the digital economy? | 11 December
Reopening Business & Schools Amid a Pandemic- New Research | Big Ideas | McCombs School of Business
Avinash (Avi) Collis | Quantifying the user value of social media data
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