NYU Stern

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Vasant Dhar

Vasant Dhar

Joined Stern 1983

Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-92
New York, NY 10012

E-mail vdhar@stern.nyu.edu
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Vasant Dhar is Professor and Head of the Information Systems Group at New York University Stern School of Business.

Professor Dhar teaches courses on Digital Marketing, Trading Strategies, and Prediction. His research is on data-driven predictive analytics in finance, healthcare, and social phenomena. He also writes on IT-driven transformation such as the one currently driving education, and implications for how firms talk to customers and partners and govern data responsibly.

Professor Dhar has been with NYU Stern for more than 30 years. His longstanding research has been on building robust automated decision making systems from large databases based on principles and methods from Artificial Intelligence, Machine Learning, and related disciplines. The emphasis is on predictive modeling, across areas that span financial markets and other domains including economic networks, news, sponsored search markets, and blogs and other user generated content. His more recent research has been on issues related to the corporate governance of data and information technologies that balances their simultaneous benefits and risks, and on the transformational aspects of these technologies in business and society. This research also has direct pedagogical implications for how information technologies are taught and discussed from a business perspective.

He has written over 70 research articles, funded by grants from industry and the National Science Foundation. He pioneered the use of machine learning for predictive modeling on Wall Street across proprietary systematic trading, risk management, and customer and salesforce management. He is a frequent speaker in academic as well as industrial forums.

Professor Dhar received his Bachelor of Technology from the Indian Institute of Technology in Delhi, and his Master of Philosophy and Doctor of Philosophy from the University of Pittsburgh.

Research Interests

  • Predictive Analytics
  • Data Science

Courses Taught

  • Digital Marketing
  • Trading Strategies and Systems

Academic Background

Ph.D., Artificial Intelligence, 1984
University of Pittsburgh

M.Phil., 1982
University of Pittsburgh

B.Tech., Chemical Engineering, 1978
Indian Institute of Technology, Delhi

Awards & Appointments

Editor-in-Chief Big Data 2014
Principal Investigator Mining Online Delegate Data for 2012 US Presidential Elections, July 2011 2011
Co-Principal Investigator Interdisciplinary Studies in Security and Privacy, NYU Abu Dhabi 2011
Principal Investigator Risk-Driven Catastrophes in Global 1000 Companies, funded by Deloitte & Touche 2010
Principal Investigator News as a Risk Factor in Predictive Modeling, supported by Thomson Reuters ('10-present) 2010
Daniel P. Paduano Fellow ('09-'11) NYU Stern 2009
Co-Director Center for Business Analytics 2006

Related News & Research

Areas of Expertise


  • High Frequency Trading


  • Publishing

Information, Operations & Management Sciences

  • Artificial Intelligence
  • Database Management
  • ITSolutions
  • Information Systems Development


  • Digital Marketing/Advertising