Clinical Assistant Professor of Operations
McColl 4543, CB 3490 Chapel Hill, NC 27599
The research interests of Nishanth Mundru are data-driven decision making under uncertainty, machine learning, and robust and adaptive optimization.
Professor Mundru is interested in solving problems that lead to better decisions and outcomes using data. He is particularly excited about solving real-world-motivated problems in healthcare analytics and operations management.
While earning his PhD, he interned as a quantitative analyst at Google Research in New York.
Before he began his academic studies, he worked in quantitative finance for a year developing statistical arbitrage-based strategies at WorldQuant LLC in Mumbai.
He received his PhD from the Massachusetts Institute of Technology and his bachelor’s in chemical engineering with a minor in applied statistics and informatics from the Indian Institute of Technology Bombay.