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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

In a feature article, Professor Vasant Dhar discusses artificial intelligence and decision making

When to Trust Robots with Decisions, and When Not To

In an op-ed, Professor Vasant Dhar addresses several challenges surrounding artificial intelligence

How can we control intelligent systems no one fully understands?

Professor Vasant Dhar comments on the increasing job opportunities involving big data

Professor Vasant Dhar illustrates the demand for MBA graduates with data analytics expertise

Big Data and Sustainable Development

In an op-ed, Professor Vasant Dhar shares highlights from NYU's symposium on "The Future of Artificial Intelligence"

The Future of Artificial Intelligence

Professor Vasant Dhar weighs in on the future of computer-generated investment advice

In an in-depth interview, Professor Vasant Dhar discusses robots as investment decision makers

Professor Vasant Dhar discusses the use of sentiment analysis technology to study unstructured data as a risk management tool

Professor Vasant Dhar comments on new research connecting television viewership and presidential election outcomes

In an op-ed, Professor Vasant Dhar offers a data-driven approach to regulating financial markets as an alternative to taxing high-frequency trading

Why taxing high-frequency trading won’t work

In an op-ed, Professor Vasant Dhar evaluates the capabilities of machines in making investment decisions

Professor Vasant Dhar on investments in dataware and cloud computing

In an op-ed, Prof. Vasant Dhar demonstrates how big data can be used to predict market conditions

Bright lights, big data: What the market may tell us about a correction

Prof. Vasant Dhar discusses the rising importance of business analytics to companies

Areas of Expertise


  • High Frequency Trading


  • Publishing

Information, Operations & Management Sciences

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


  • Digital Marketing/Advertising