PeopleofSuperintelligence

Researcher

Kamalika Chaudhuri

Kamalika Chaudhuri is a machine learning researcher whose work covers AI privacy, security and alignment. She earned a PhD in computer science at UC Berkeley in 2007, joined the CSE department at UC San Diego as an assistant professor in 2010, and received a Hellman Faculty Fellowship in 2012 and an NSF CAREER Award in 2013. Chaudhuri was program chair of ICML 2019, became Board President of the ICML Foundation in July 2025, and coauthored "How much can language models memorize?", which received an Outstanding Paper Honorable Mention at ICML in 2026. She built and led a FAIR research team at Meta on AI privacy, security, and reliability before moving to Google. She is a Principal Scientist at Google DeepMind, where she leads a team on prompt injections and contextual security.

Timeline

  1. 2002–2007

    Degrees from IIT Kanpur and Berkeley

    She earns a Bachelor of Technology in computer science and engineering from the Indian Institute of Technology, Kanpur, in 2002. She completes a PhD in computer science at UC Berkeley in 2007.

  2. 2010

    Assistant professor at UC San Diego

    After a stint as a postdoctoral researcher at the Information Theory and Applications Center at UC San Diego, she joins the CSE department at UCSD as an assistant professor in 2010.

  3. 2012–2013

    Hellman Fellowship and NSF CAREER

    She receives a Hellman Faculty Fellowship in 2012 and an NSF CAREER Award in 2013.

  4. 2019

    Program chair of ICML 2019

    She is elected to the ICML board and serves as program chair of ICML 2019.

  5. 2024

    A SaTML distinguished paper award

    In 2024, the paper "Data Redaction for Conditional Generative Models", which she coauthors with Zhifeng Kong, receives the Distinguished Paper Award at the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

  6. July 2025

    Board President of ICML Foundation

    In July 2025, she becomes Board President of the ICML Foundation, and she is still president in 2026.

  7. 2026

    ICML honorable mention on memorization

    ICML gives an Outstanding Paper Honorable Mention in 2026 to "How much can language models memorize?", which she coauthors with John Morris, Chawin Sitawarin, Narine Kokhlikyan, Chuan Guo, Edward Suh, Alexander Rush and Saeed Mahloujifar. The paper estimates that GPT-style models have a capacity of approximately 3.6 bits per parameter.

  8. As of October 2026

    Principal Scientist at Google DeepMind

    She is a Principal Scientist at Google DeepMind, where she leads a research team on prompt injections and contextual security. Before Google, she builds and leads a research team at FAIR at Meta on AI privacy, security, and reliability. She is a full professor at UC San Diego until 2024 and holds an adjunct professor position there.

Career

  1. Since 2025ICML FoundationBoard President
  2. Since 2010University of California, San DiegoPostdoctoral Researcher, Full Professor
  3. NowGoogle DeepMindPrincipal Scientist
  4. FAIR (Meta)Research team lead

Education

  1. 2007University of California, BerkeleyPhD
  2. 2002Indian Institute of Technology KanpurBachelor of Technology

From the biography.

  1. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  3. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Google. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Kamalika Chaudhuri yet. Send us a free-licensed photo.

  1. Kamalika Chaudhuri simons.berkeley.edu. Checked 21 October 2026.
  2. IMLS 2019 Board icml.cc. Checked 21 October 2026.
  3. Kamalika Chaudhuri cseweb.ucsd.edu. Checked 21 October 2026.
  4. ICML 2026 Board icml.cc. Checked 21 October 2026.
  5. ICML 2026 Awards icml.cc. Checked 21 October 2026.
  6. [2505.24832] How much do language models memorize? arxiv.org. Checked 21 October 2026.