AI People Wiki

Builders & open source

Sameer Singh

Professor, Department of Computer Science, University of California, Irvine, UC Irvine

  • Professor, Department of Computer Science, University of California, Irvine1
  • Cofounder/CTO, Spiffy AI1

Sameer Singh is a Professor of Computer Science at the University of California, Irvine, working primarily on robustness and interpretability of machine learning algorithms and on models that reason with text and structure for natural language processing. Singh was a postdoctoral researcher at the University of Washington from 2013 to 2016 and an Allen Fellow at the Allen Institute for AI from 2021 to 2023, and lists a current role as co-founder and CTO of Spiffy AI. With Marco Tulio Ribeiro and Carlos Guestrin, Singh co-authored the paper that proposed LIME, a technique for explaining the predictions of any classifier, and Singh is a co-author of Beyond Accuracy: Behavioral Testing of NLP models with CheckList.123

At a glance

Current roles
Professor, Department of Computer Science +1 more
Sector
University
Education
UW
Work listed
2
Honors
6
Sources cited
4
Profile reviewed

Career

Sameer Singh received a PhD from the University of Massachusetts Amherst, with internships at Microsoft Research, Google Research and Yahoo! Labs, and was a postdoctoral researcher at the University of Washington from 2013 to 2016. Singh joined UC Irvine as an assistant professor of computer science in 2016, became an associate professor in 2021 and a full professor in 2024, with affiliations in Linguistics and EECS.1

From 2021 to 2023 Singh was an Allen Fellow at the Allen Institute for AI, and Singh's site lists a current role as co-founder and CTO of Spiffy AI.1

Research

Singh's research concerns the robustness and interpretability of machine learning and models that reason over text and structure. LIME, introduced in 2016 with Marco Tulio Ribeiro and Carlos Guestrin, explains an individual prediction of any classifier by fitting an interpretable model locally around it. A related 2016 paper on model-agnostic interpretability received the workshop best paper award at the ICML Workshop on Human Interpretability in Machine Learning.124

CheckList (2020), again with Ribeiro and others, proposed behavioral testing of NLP models with a matrix of linguistic capabilities and test types, and received the best paper award at ACL 2020. Later award-winning work from Singh's group includes FRUIT, a NAACL 2022 task on updating text to reflect new information.34

Work and contributions

Timeline

  1. Began a postdoctoral position at the University of Washington.1
  2. Joined UC Irvine as an assistant professor of computer science.1
  3. Co-authored the LIME paper on explaining the predictions of any classifier.2
  4. Co-authored CheckList, a behavioral testing method for NLP models.3
  5. Became an associate professor at UC Irvine and an Allen Fellow at the Allen Institute for AI.1
  6. Became a professor of computer science at UC Irvine.1

Other documented roles

Roles the sources document that are not confirmed as current.

Honors and recognition

  • DARPA Riser · DARPA, 20154
  • Best Paper Award, ACL 2020, for CheckList · Association for Computational Linguistics, 20204
  • Hellman Fellowship · Hellman Family Foundation, 20204
  • NSF CAREER Award · U.S. National Science Foundation, 20214
  • Best Task Paper Award, NAACL 2022, for FRUIT · North American Chapter of the Association for Computational Linguistics, 20224
  • Kavli Fellow · National Academy of Sciences (Kavli Frontiers of Science), 20234

Where they work

Suggest a correction or removal

Profiles cover public professional work only, and each statement cites a source. If something is out of date, missing or wrong, tell us and link a source. People can also ask for their profile to be corrected or removed.

References

4 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Sameer Singh — homepage (appointments and industry roles)Sameer Singh · Official page · accessed Oct 21, 2026
  2. "Why Should I Trust You?": Explaining the Predictions of Any Classifier (arXiv 1602.04938)arXiv · Paper · published Feb 16, 2016 · accessed Oct 21, 2026
  3. Beyond Accuracy: Behavioral Testing of NLP models with CheckList (arXiv 2005.04118)arXiv · Paper · published May 8, 2020 · accessed Oct 21, 2026
  4. Sameer Singh — AwardsSameer Singh · Official page · accessed Oct 21, 2026