Ankur Teredesai


Ankur M. Teredesai, Ph.D.

Associate Professor,

Institute of Technology

I manage the:

Center for Web and Data Science

Information Officer:


Contact Information

Email: ankurt AT u dot washington dot edu

Office: Cherry Parkes 223

Phone: 253.692.4806

Office Hours: Wed 1:30 pm - 3pm ( in CP 206M - WDS Center)

Mailing Address:

Box 358426 1900 Commerce St,

Tacoma, WA 98402

Quick Notes

Research: Data Science

Currently Teaching (Autumn 2013) :

TCSS 598 - MS Research Methods Seminar

I’m reading:

Start With Why by Simon Sinek

Some Favorites:

* The Fourth Paradigm edited by Tony Hey, Stewart Tansley, and Kristin Tolle

* Guns, Germs and Steel by Jared Diamond

* Agony and Ecstasy by Irving Stone

* Why Most Things Fail by Paul Ormerod

  1. *P.G. Wodehouse’s works

  2. *Microtrends by Mark Penn

* The Wisdom of Crowds by James Surowiecki


Prof. Teredesai actively mentors graduate and undergraduate students, is engaged in developing new approaches to enhance participation of non-traditional students to computing, and has been actively developing new courses and programs in computing; most recently the Information Technology and Systems degree program at University of Washington Tacoma.

Prof. Teredesai is an Associate Professor and Graduate Program Coordinator at the Institute of Technology, University of Washington Tacoma. He obtained a doctorate from SUNY, University at Buffalo. Apart from his academic appointments at RIT and UWT, he has significant industrial experience and held various positions at C-DAC Pune, Microsoft, and IBM T.J. Watson Labs. Prof. Teredesai has helped design and develop several deployed data science solutions in various verticals including internet advertising, social networks and handwritten zip code recognizers. His other applied research contributions include risk prediction for healthcare data mining, social recommendations, distributed algorithms for data mining, novelty detection and volume estimation from video streams, to name a few. He directs the activities for the Center for Web and Data Science and serves as the Information Officer for ACM SIGKDD (Special Interest Group in Knowledge Discovery and Data Mining). 


Short Bio