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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 a Data Scientist whose research addresses the following question: when do computers make better decisions than humans?

The research is grounded in Artificial Intelligence, Machine Learning, and data big and small. The major problem areas addressed in the research are finance, healthcare, education, business, and sports. In the financial arena, for example, his major question asks whether you should trust your money to a robot. For example, see: http://online.liebertpub.com/doi/full/10.1089/big.2015.28999.vda

Similar questions apply in the other arenas. For example, could computers make better teachers than humans? Could they offer valuable healthcare advice to us that experts aren’t able to provide? Could they become valuable assistant coaches?

As recently as five years ago, it would have seemed preposterous to think that computers might drive cars better than humans in our lifetime yet driverless cars are here already. Computers are making more and more decisions for us, and increasingly so in areas that require human judgment. How might we leverage the rapid advances in machine intelligence in areas such as finance, healthcare, and education?

Professor Dhar teaches courses on Digital Marketing, Trading Strategies, and Prediction. 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.

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