Anagha Kulkarni

Associate Professor
Undergraduate Advisor

Contact Information

Phone: (415) 338-2539
Building: Thornton Hall
Room Number: 970
Office hours will be posted on the respective iLearn page and held through Zoom. Please contact the office if you are unable to find instructions for office hours for a particular class.

Advising Hours
Thursday: 4:45 p.m. - 5:45 p.m.

Areas of Expertise
  • Information Retrieval
  • Natural Language Processing
  • Machine Learning

  • Sub-contract of NIH R01, 2016 – 2020, Text Mining for Hi-Fi Curation
  • AI-STAARS: Scholarships To Improve Undergraduate Students' Academic Achievement, Retention, and Career Success in Computer Science and Artificial Intelligence, 2021-2025; PI: A. Kulkarni, co-PIs: I. Yoon, P. Fazli, S. Ihorn

  • Previde P.*, Thomas B.*, Wong M., Mallory E.*, Petkovic D., Altman R., and Kulkarni A. (2018) GeneDive: A Gene Interaction Search and Visualization Tool to Facilitate Precision Medicine. In the Proceedings of Pacific Symposium on Biocomputing. January 2018. Hawaii, USA.
  • Chuang M.* and Kulkarni A. (2017) Improving Shard Selection for Selective Search. In the Proceedings of the Asia Information Retrieval Societies Conference. November 2017. Jeju, Korea.
  • Khvalchik M.*, Pithyaachariyakul C.*, and Kulkarni A. (2017) Open-domain Non-factoid Question Answering. In the Proceedings of the International Conference on Text, Speech, and Dialogue. August 2017. Prague, Czechia.
  • Wei W.*, Kulkarni A., Wong M. (2017) PF-Words: Biomedical Literature Based Protein Function Search. In the Proceedings of the International Conference on Bioinformatics and Computational Biology. March 2017, Honolulu, HI, USA.

Dr. Kulkarni Website