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Gourab Mukherjee

  • Associate Professor of Data Sciences and Operations

Gourab Mukherjee's research focuses on the development of new statistical theories and applied statistics methods for the disciplined analysis of complex data types that arises from various contemporary business and scientific problems. He has reported new phenomena and novel theoretical results in predictive inference and shrinkage methodology. He is involved in collaborative studies in quantitative marketing and virology.

Gourab Mukherjee

Areas of Expertise

Hierarchical Modeling
Robust Algorithms


Data Sciences + Operations