I am an Applied Statistician and Data Scientist. As a statistician, I have had the good fortune of working on data from many different domains — publishing peer-reviewed work in Genetics, Clinical Trials, Medicine, Marketing, Computer Science, and Geology.

I am currently working as a Principal Research Scientist at Adobe Research in San Jose, CA, where I lead research on statistical methods for digital marketing, online experimentation, causal inference, and AI agents for enterprise analytics.

Research Interests

• Anytime-valid inference and sequential experimentation
• Causal inference in digital marketing contexts
• Bayesian methods for marketing attribution
• Non-human traffic and bot detection
• AI agents for data insights and audience analytics
• Privacy-preserving experimentation

Links

• Adobe Research official page
• Google Scholar profile
• Full list of peer-reviewed publications
• Granted and filed patents

Contact

ritwik.sinha [at] gmail [dot] com

Selected Press

• Axios

  Sep 2018
  When a few simple rules are better than flashy AI (by name)
• The Wall Street Journal

  Mar 2018
  Fraudulent Web Traffic Continues to Plague Advertisers, Other Businesses
• The Drum

  Mar 2018
  Adobe declares its data scientists have found the solution to tackle ad fraud
• Forbes

  Nov 2017
  Adobe Enhances Analytics With Advanced New Features
• TechCrunch

  Sep 2017
  Adobe wants to make every online retailer more analytical
• Business Wire

  Mar 2015
  Adobe Pushes Boundaries of Marketing at Summit 2015
• Adobe Blog

  Oct 2014
  Adobe Analytics Offers New Features for Improving the Customer Journey
• Business Wire

  Jan 2013
  Adobe Unveils Major Innovations in Adobe Analytics

Service

Board of Studies, PSG Tech, Coimbatore. Reviewing for IKDD, COMSNET, Adobe Tech Summit, Physica A, and Telematics and Informatics. PhD/MS committees: Akanksha Atrey (UMass Amherst), Jan Kadel (Hamburg), Shiv Shankar (UMass Amherst).