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Daniel Knoepfle
Economist, Director of Applied Science / Data Science at Uber
Daniel Knoepfle is currently the Director of Applied Science at Uber, a position he has held since August 2014. He is based in the San Francisco Bay Area and has a strong academic background in economics, having earned both a Bachelor of Science with honors from the California Institute of Technology and a Ph.D. from Stanford University.14
Professional Background
- Current Role: Director of Applied Science, Uber (2014 - Present)
- Previous Experience: Knoepfle has focused on applying economic principles to data science, particularly in areas related to industrial organization and internet economics. His work involves developing models and methodologies that enhance Uber's operations and decision-making processes.24
Education
- Ph.D. in Economics: Stanford University (2008 - 2015)
- B.S. in Economics with Honors: California Institute of Technology (2003 - 2007)
Research Contributions
Knoepfle has also contributed to various academic publications, focusing on topics such as surge pricing and consumer behavior in online markets. His research has been cited extensively, reflecting his influence in the field of applied econometrics.23
Overall, Knoepfle's role at Uber leverages his expertise in economics to drive data-driven strategies that improve efficiency and resource management within the company.
