About me

I am a tenure-track Assistant Professor of Statistics at Virginia Tech, where I have been working since Fall 2016. My research interests are primarily in statistical methodology for network data, bootstrap and related resampling methods, Big data, and computational statistics. I am also interested in statistical applications in wide-ranging problems in science and industry.

In Fall 2018, I am teaching a topics course in Statistical Analysis of Networks (STAT 6984).

Contact Information:

417-C Hutcheson Hall
250 Drillfield Drive
Blacksburg, VA 24061
Email: sengupta ''at'' vt.edu

Recent news and updates

  • Our paper studying the effect of data aggregation level in network monitoring is accepted for publication.
  • Upcoming: Invited talk at HDSI Symposium "Statistics and Data Science: Beyond big, corrupted or missing data", Jan 19-20, at The University of California, San Diego.
  • In Spring 2019, I am teaching the undergraduate data science course CMDA/CS/STAT 3654

Background

I graduated from the University of Illinois at Urbana-Champaign in July 2016 with a PhD in Statistics, where I studied with Yuguo Chen (network inference) and Xiaofeng Shao (modern resampling methods). My Erdős number is 3, via Yuguo Chen via Persi Diaconis.

I grew up in Kolkata, India where I did my schooling at RKM Narendrapur. I went to college at the Indian Statistical Institute, Kolkata, where I received a B.Stat (2007) and an M.Stat (2009), both first class with distinction. After graduating from ISI, I worked as an actuary (2009-2011) and passed 12 of the 15 required papers for Fellowship 1 in the relatively short span. It was exciting to use statistics to create new financial derivatives, fit yield curves2, and price actuarial products. It was also wonderful to see the immense value and respect that statisticians command in the finance sector. It is this exposure and experience of collaborating with non-statistician domain experts that truly convinced me of the power3 and relevance of statistics in the finance sector, and by extension in today's world.

While working as an actuary, I felt that in academics I would get the chance to apply and develop statistical methodology for many different domains. My time in academia has been an exciting and rewarding journey in this direction, and have further strengthened my convictions about the wide-ranging importance of statistics in today's world. I plan to continue this wholehearted pursuit of the application and development of relevant statistical methodology for the rest of my career.


1. [sadly, not of the Ring]

2. [here are slides of my presentation at the 12th Global Conference of Actuaries.]

3. [pun intended :)]