Vasant Dhar

Vasant Dhar
Vasant Dhar, Editor-in-Chief, Big Data Journal; Professor, Stern School of Business; Faculty, NYU Center for Data Science
Residence US
Nationality India
Alma mater University of Pittsburgh
Indian Institute of Technology Delhi
Scientific career
Fields Data science
Information Systems
Machine Learning
Artificial Intelligence
Big Data
Institutions New York University

Vasant Dhar is a professor at the Stern School of Business and the Center for Data Science at New York University.[1] He is Editor-in-Chief of the journal Big Data,[2] and the founder of SCT Capital Management, a machine-learning-based hedge fund in New York City. Dhar teaches for the Master of Science in Business Analytics Program for Executives (MSBA).[3]

Dhar is a data scientist[4] whose research interests are in the design of autonomous data-driven learning and decision making systems where the central question is "when to trust robots with decisions and when not to?".[5] His research in predictive analytics addresses this question in a number of areas, including the prediction of returns in financial markets,[6] social media[7] and healthcare,[8][9] and networks.[10] A central question underlying this research in finance is “when do computers make better decisions than humans?" which is addressed in the article "Should You Trust Your Money to a Robot?"[11]

He also teaches in the Digital Marketing MBA specialization at the Stern School of Business [12][13] as well as the Master of Science in Business Analytics program.[14]

Life and work

Dhar graduated from the Indian Institute of Technology Delhi in 1978 with a B.Tech in Chemical Engineering. He subsequently attended the University of Pittsburgh where he received an M. Phil and a Ph.D. in 1984. After he earned his doctorate, he joined the faculty at New York University. He worked at Morgan Stanley between 1994 and 1997 where he created the Data Mining Group that focused on predicting financial markets and customer behavior.

His research focuses on building scalable decision making systems from large sources of data using techniques and principles from the disciplines of Artificial Intelligence and Machine Learning.

See also

References

  1. "Center for Data Science - New York University". NYU Center for Data Science. Retrieved 2015-10-20.
  2. "Big Data". www.liebertpub.com. Retrieved 2015-10-20.
  3. "NYU Stern | Master of Science in Business Analytics". www.stern.nyu.edu. Retrieved 2015-10-20.
  4. "Data Science and Prediction".
  5. "When to Trust Robots with Decisions, and When Not To". Harvard Business Review. Retrieved 2016-06-10.
  6. Dhar, Vasant. "Prediction in Financial Markets: The Case for Small Disjuncts" (PDF).
  7. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales". Journal of Interactive Marketing. 23 (4): 300–307. doi:10.1016/j.intmar.2009.07.004.
  8. Dhar, Vasant (2014-09-01). "Big Data and Predictive Analytics in Health Care". Big Data. 2 (3): 113–116. doi:10.1089/big.2014.1525. ISSN 2167-6461.
  9. "Comparative Effectiveness for Oral Anti-Diabetic Treatments Among Newly Diagnosed Type 2 Diabetics: Data-Driven Predictive Analytics in Healthcare".
  10. "Prediction in Economic Networks: Using the Implicit Gestalt in Product Graphs".
  11. Dhar, Vasant (2015-06-01). "Should You Trust Your Money to a Robot?". Big Data. 3 (2): 55–58. doi:10.1089/big.2015.28999.vda. ISSN 2167-6461.
  12. New York University press release announcing Digital Marketing MBA specialization at Stern School of Business
  13. New York Post article on Digital Marketing Specialization at NYU
  14. MS in Business Analytics, NYU Stern
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