PeopleofSuperintelligence

Researcher

Akhil Mathur

Akhil Mathur is an AI Research Scientist at Meta whose work includes language models and federated learning. He serves as a Principal Research Scientist at Bell Labs from February 2011 to December 2022. His research includes DeepEye for wearable vision, Mic2Mic for audio models, Flower for on-device federated learning, and Centaur for data selection at the edge. He completes a Ph.D. at UCL in October 2020 and holds a computer-science master's from Toronto and a B.Tech. from DA-IICT. He joins Meta in December 2022, contributes to the 2024 Llama 3 report, and, as of October 2026, leads research on reasoning, tool use, safety, and agents at Meta Superintelligence Labs.

Works
102
Citations
3,396
h-index
26
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. February 2011–December 2022

    Principal scientist at Bell Labs

    From February 2011 to December 2022, he serves as a Principal Research Scientist and Distinguished Member of Technical Staff at Bell Labs.

  2. 2017–2020

    DeepEye and Mic2Mic

    At MobiSys in 2017, he coauthors DeepEye, a paper on running multiple deep-vision models locally on wearable hardware. In 2020, he coauthors the Mic2Mic arXiv paper, which reduces microphone-specific variation in audio models.

  3. October 2020

    A doctorate at UCL

    He completes a Ph.D. at University College London in October 2020 and holds a computer-science master's from the University of Toronto and a B.Tech. from DA-IICT.

  4. 2021

    Federated learning on phones

    In 2021, he coauthors a paper exploring on-device federated learning on smartphones and embedded devices with Flower. He writes a TensorFlow Lite tutorial for federated learning on Android devices.

  5. 2022

    Data selection with Centaur

    In 2022, he coauthors the arXiv preprint of Centaur, a federated-learning framework that uses on-device data selection at the edge.

  6. December 2022

    Joining Meta research

    In December 2022, he joins Meta as an AI Research Scientist.

  7. 2024

    The Llama 3 report

    In 2024, he contributes to The Llama 3 Herd of Models, a report on foundation models with multilingual, coding, reasoning, and tool-use capabilities.

  8. Since December 2022

    Research at Meta Superintelligence Labs

    As of October 2026, he is an AI Research Scientist at Meta Superintelligence Labs and leads research on LLM reasoning, tool use, safety, and agents.

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

Career

  1. Since 2022Meta Superintelligence LabsAI Research Scientist
  2. 2016–2022Nokia
  3. 2011–2022Bell LabsPrincipal Research Scientist and Distinguished Member of Technical Staff

Education

  1. 2020University College LondonPh.D.
  2. University of TorontoMaster's degree
  3. Dhirubhai Ambani Institute of Information and Communication TechnologyB.Tech.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Flower: A Friendly Federated Learning Research Framework2020 · 622 citations
  2. Enriching Location Representation with Detailed Semantic Information2024 · 496 citationsWith Dieuwke Hupkes
  3. Squeezing Deep Learning into Mobile and Embedded Devices2017 · IEEE Pervasive Computing · 224 citations
  4. Earables for Personal-Scale Behavior Analytics2018 · IEEE Pervasive Computing · 141 citations
  5. A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition2020 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 138 citations

From OpenAlex, as of 18 October 2026.

  1. The median h-index is 55 at universities and 20 at frontier AI labsIncludes Akhil Mathur. The median h-index is 55 at universities and 20 at frontier AI labs. We compare publishing careers, citations and moves to estimate how universities and frontier labs contribute to AI research.
  2. 13% of AI career moves in the 2020s went from a university to a companyIncludes Akhil Mathur. Our estimates of how university-to-company career transitions changed by decade, including roles added alongside an earlier job.
  3. Google alumni founded or led 79 other organizations, the most among the labs we compareIncludes Meta. We trace 181 organizations founded or led by AI lab alumni, and 187 career moves between the labs.
  4. The company share of AI researchers’ top papers rose from 2% to 32%Includes Meta. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Akhil Mathur akhilmathurs.github.io. Checked 18 October 2026.
  2. MobiSys 2017 - The 15th International Conference on Mobile Systems, Applications, and Services sigmobile.org. Checked 18 October 2026.
  3. Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems arxiv.org. Checked 18 October 2026.
  4. Mirco Musolesi mircomusolesi.org. Checked 18 October 2026.
  5. On-device Federated Learning with Flower arxiv.org. Checked 18 October 2026.
  6. Federated Learning on Android devices with Flower flower.ai. Checked 18 October 2026.
  7. Enhancing Efficiency in Multidevice Federated Learning through Data Selection arxiv.org. Checked 18 October 2026.
  8. The Llama 3 Herd of Models arxiv.org. Checked 18 October 2026.