Academic Pursuits

Here is an overview of my academic career and teaching activities. For more details, please take a look at my CV.

Education

• PhD in Biostatistics, University of Michigan, 2018 - 2023.
  • Dissertation: Bayesian Models for Multi-omic Multi-system Integration for Precision Oncology.
• Master of Statistics, Indian Statistical Institute, Kolkata, 2016 - 2018.
  • Specialization: Applied Statistics, Biostatistics track.
• Bachelor of Statistics (Hons.), Indian Statistical Institute, Kolkata, 2013 - 2016.

Teaching

• Lecturer at the Big Data Summer Institute.
  • Introduction to Linear Algebra, 2023.
  • Introduction to Linear Algebra, 2022.
  • Introduction to Probability, 2021.
• Grader and project reviewer in departmental courses.
  • Biostat 651: Theory and Application of Generalized Linear Models, Winter 2023.
  • Biostat 651: Theory and Application of Generalized Linear Models, Winter 2021.
  • Biostat 802: Advanced Inference II, Winter 2020.