About me

I am a tenure-track Assistant Professor of Statistics at Virginia Tech. In Fall 2017, I am teaching CMDA 3654 (Intro Data Analytics & Visualization) and STAT 5504 (Multivariate Statistical Methods).

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.

Contact Information:

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

Recent news and updates

  • Invited networks talk at the 2017 IISA International Conference on Statistics at Hyderabad, India on Dec 27-30, 2017.
  • Invited big data bootstrap talk at the CM Statistics 2017 conference at London, UK on Dec 16-18, 2017.
  • Congratulations to Rachel Szabo, Andrew Bowers, and Han Liao: all of them are proud winners of Luther and Alice Hamlett Undergraduate Research awards by the Academy of Integrated Sciences! These awards will fund our Fall 2017 research on anomaly detection in networks.
  • Invited talk at the ICSA Canada conference at Vancouver on Aug 19-20, 2017.
  • I am the PI of a $44,484 industry grant from Socially Determined, with co-PIs Mark Embree, Leanna House, and Robert B. Gramacy. This award will fund our summer research project.
  • I am one of the ten faculty members across the Virginia Tech College of Science to be awarded the Dean's Discovery Fund for the 2017-18 academic year. This award will fund our work on scalable statistical inference for network data mining.

Press: http://vtnews.vt.edu/articles/2017/06/science-deansdiscoveryfunding.html

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 :)]