Dr Deepak Kumar is a Quantitative Manager (Research) at Google. He leads research in
search advertising effectiveness. He and his team develop statistical models that
leverage both controlled experiments and observational data to tackle search
advertising effectiveness problems and also to help improve the targeting of Google's
ads products and sales offerings. He received a B.E from National Institute Of
Technology (Karnataka, India), a M.S. from University of Illinois, and PhD from
Northwestern University. His master's research focused on data classification
algorithms for applications in medical diagnosis and credit card authorization while
his doctoral research was on the development of demand models for enterprise-driven
product design. At Google, his work has been featured in the letter to board of
directors and his team's research has been widely cited and featured in Techcrunch,
Search Engine Land, etc.
Google Publications
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Impact Of Ranking Of Organic Search Results On The
Incrementality Of Search Ads
David Chan, Deepak Kumar, Sheng Ma, Jim Koehler
Google Inc. (2012)
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Incremental Clicks Impact Of Search Advertising
David Chan, Yuan Yuan, Jim Koehler, Deepak
Kumar
Google, Inc. (2011)
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Incremental Clicks: The Impact of Search
Advertising
David X. Chan, Yuan Yuan, Jim Koehler, Deepak
Kumar
Journal of Advertising Research, vol. 51, no. 4 (2011), pp. 643-647