Professor Dr. Ashis Gangopadhyay profile photo

Professor Dr. Ashis Gangopadhyay

Assistant Professor

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Biography

Ashis Gangopadhyay received his PhD in Statistics from the University of California, Davis, and his MS in Statistics from the Indian Statistical Institute. He is currently an Assistant Professor and Associate Chair at Boston University's College of Arts and Sciences, specializing in the Department of Mathematics and Statistics. His research interests include nonparametric time series prediction and smoothing, modeling financial time series, semiparametric volatility estimation, and high-frequency financial data modeling, as well as applications in epidemiology, clinical trials, and causal inference in public health research. In 2005, he received the Neu Family Award for Excellence in Teaching at Boston University, recognizing his commitment to education and mentorship.

Research Interests

Nonparametric Time Series Prediction Smoothing Modeling Financial Time Series Semiparametric Volatility Estimation Modeling High Frequency Financial Data Epidemiology Applications Clinical Trials Causal Inference in Public Health Research

Awards

#1

Neu Family Award for Excellence in Teaching

Requirements for Boston University

Doctorate Program

Requirements

GPA Requirement
Required:3.88
TOEFL
Total
Required:100

Prerequisites

Bachelor's degree from an accredited institution

Application Checklist

  • Personal statement
  • Two letters of recommendation
  • Resume
  • LSAT or GRE scores
  • Transcripts through LSAC

Specialization Notes

Department of Law offers JD, LLM, and Master's in Study of Tax Law.