Anupreet Porwal
Data Scientist, Google Inc.
PhD in Statistics, University of Washington Seattle
Biography
I am a Data Scientist working with analytics, insights and measurement (AIM) team at Google Inc. Prior to that, I earned my PhD in Statistics in August 2023 from the Department of Statistics at the University of Washington. I am broadly interested in Bayesian Machine Learning and Statistical Modelling Techniques. During my PhD, I worked with Prof. Adrian Raftery and Prof. Abel Rodriguez to develop Bayesian methods for variable selection. I spent the summer of 2021 as a Biostatistics research intern at Merck Research Laboratories working with Dr. Himel Mallick on an integrated Bayesian framework for multiomics prediction and classification.
Before coming to UW, I worked as an analyst with North American Liability Strategies team in Deutsche Bank. At DB, I advised North American corporate clients on their liability strategies including liability management, capital structure analysis, ratings and pension advisory.
I did my bachelors and masters in Mathematics and Scientific Computing from Indian Institute of Technology Kanpur in 2017 where I was fortunate to work with Prof. Debasis Kundu, Prof. Amit Mitra and Prof. Piyush Rai.
You can find my CV here.
Interests
- Statistical Modelling Techniques
- Bayesian Model Selection, Bayesian Models for sparsity
- Probabilistic Machine Learning, Bayesian Statistics
Education
-
PhD in Statistics, 2023
University of Washington Seattle
-
B.S.-M.S. in Mathematics and Scientific Computing, 2017
Indian Institute of Technology Kanpur