Leonard N. Stern School of Business
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 Trading Strategies, Prediction, Data Science, and Foundations of FinTech. 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.