PeopleofSuperintelligence

Researcher

Aniruddh Rao

Aniruddh Rao's published AI work spans image recognition, language generation and efficient neural-network training. In 2019, he worked on an image-recognition project that used Google AutoML Vision to study misclassification. In 2022, he coauthored Monarch, a structured-matrix approach to efficient neural-network training; the paper reached ICML as a long talk and received an Outstanding Paper runner-up distinction. At the University of Michigan, he and Manav Bhatia also worked on an abstractive title-generation project.

Timeline

  1. 2019

    An image recognition project

    In 2019, he works with Aaron Wilson and Ling Chen on a CSE 331 project that uses Google AutoML Vision to study image misclassification.

  2. April 2022

    Monarch structured matrices

    In April 2022, he coauthors Monarch, which proposes hardware-efficient structured matrices to replace dense neural-network weights during training and fine-tuning.

  3. July 2022

    An ICML long talk

    The Monarch paper appears as a peer-reviewed ICML conference article and a long talk in July 2022.

  4. 2022

    An ICML runner-up award

    Monarch receives the Outstanding Paper Runner Up distinction at ICML in 2022.

  5. 2022

    Abstractive title generation

    In Fall 2022, he and Manav Bhatia work on Got Headlines?, a project on abstractive title generation for news articles in Michigan's EECS 595 course.

  1. Google had the most people shaping AI every year from 2014 to 2025Our 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. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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

  1. CSE 331 Fall 2019 cse.buffalo.edu. Checked 20 October 2026.
  2. Monarch: Expressive Structured Matrices for Efficient and Accurate Training arxiv.org. Checked 20 October 2026.
  3. Monarch: Expressive Structured Matrices for Efficient and Accurate Training - SUNY University at Buffalo researchconnect.buffalo.edu. Checked 20 October 2026.
  4. Atri Rudra's Publications cse.buffalo.edu. Checked 20 October 2026.
  5. ICML 2022 Awards icml.cc. Checked 20 October 2026.
  6. [Gallery] EECS 595 Fall 2022 Student Project Gallery | SLED Research Lab @ UMich sled.eecs.umich.edu. Checked 20 October 2026.