Contact Information:

Email: ankurt AT uw dot edu
Office: TLB 307C
Phone: 253-692-4806

Mailing Address:

Box 358426, 1900 Commerce St,
Tacoma, WA 98402

About Us
About Us

Ankur M. Teredesai,Ph.D.

Professor: Computer Science & Systems | School of Engineering and Technology | University of Washington Tacoma

Co-founder & CTO, KenSci
General Co-Chair: ACM KDD 2019

Ankur M. Teredesai is a Professor of Computer Science & Systems at the School of Engineering & Technology, University of Washington Tacoma. His research interests focus on data science applications for healthcare and its societal impact.

Apart from his academic appointments at RIT and the University of Washington Tacoma, Teredesai has significant industry experience, having held various positions at C-DAC Pune, Microsoft, IBM T.J. Watson Labs, and a variety of technology startups. Prof. Teredesai has published over 75 papers on machine learning in leading venues, has managed large teams of data scientists and engineers, and deployed numerous machine learning applications across various industries from web advertising, social recommendations, to handwriting recognition.

Since 2009 for over a decade his research focus has been making AI for assistive for healthcare. His research contributions have led to advancing our understanding of risk and utilization prediction for chronic conditions such as diabetes and heart failure. In May 2015, after years of collaborative and applied research on large clinical and claims datasets, Prof. Teredesai founded KenSci, the global leader in Healthcare AI, a spin-out form the University of Washington.

He is the founding director of the Center for Data Science , and served as the Information Officer for ACM SIGKDD (Special Interest Group in Knowledge Discovery and Data Mining) from 2006 to 2018. He is currently an associate editor for ACM SIGKDD Explorations and serves on program committees of select international conferences in AI & machine learning.

Ankur is an active advocate for diversity and inclusion, women in computing and enbling non-traditional students to consider computing careers.