PeopleofSuperintelligence

Researcher

Abhishek Das

Abhishek Das is an AI researcher and entrepreneur whose work spans visual dialogue, embodied agents, image explanations, catalyst models, and computer-use agents. He earned a bachelor's at IIT Roorkee and pursued a PhD at Georgia Tech from 2016 to 2020, working on visual dialogue and embodied question answering. His PhD thesis was a runner-up for the 2020 AAAI/ACM SIGAI Doctoral Dissertation Award, and he coauthored Grad-CAM, a method for explaining image model predictions. At Meta's FAIR, he helped start the Open Catalyst Project and coauthored the 2020 OC20 dataset paper for catalyst research. By June 2025, he had left FAIR to co-found Yutori; as of October 2026, he is its Co-Founder and Co-CEO, and the company builds computer-use agents for the web.

Now at
Yutori
Works
60
Citations
30,471
h-index
33
Badges
Links
Website, Google Scholar, X, LinkedIn and GitHub

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2016–2020

    IIT Roorkee and Georgia Tech

    He earns a bachelor's at IIT Roorkee before pursuing a PhD at Georgia Tech from 2016 to 2020.

  2. 2017

    Learning visual dialogue agents

    In 2017, he coauthors “Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning,” which trains visual question-answering and dialog agents using deep reinforcement learning.

  3. 2017–2019

    Grad-CAM for image explanations

    He coauthors Grad-CAM, a method that uses gradients to highlight image regions relevant to a model's prediction. The paper appears at ICCV in 2017 and in International Journal of Computer Vision in 2019.

  4. 2018–2019

    Embodied question answering

    In 2018, his Embodied Question Answering work is presented at CVPR; the agent navigates a simulated environment and gathers visual information before answering a question. In 2019, he spends a semester at DeepMind in London after three internships at Facebook AI Research.

  5. 2020

    The Open Catalyst Project

    At Meta's FAIR, he helps start the Open Catalyst Project to accelerate electrocatalyst discovery. In 2020, he coauthors the OC20 dataset paper, which introduces 1,281,040 density-functional-theory relaxations for machine-learning catalyst research.

  6. 2020

    An AI dissertation runner-up

    His PhD thesis earns runner-up recognition for the 2020 AAAI/ACM SIGAI Doctoral Dissertation Award.

  7. By June 2025

    Launching Yutori

    By June 2025, he is a Yutori co-founder and a former research scientist at Meta's FAIR. The company debuts a web agent for everyday digital tasks.

  8. As of October 2026

    Co-leading Yutori

    As of October 2026, he is Yutori's Co-Founder and Co-CEO; the company builds computer-use agents that browse and act on the web.

Career

  1. NowYutoriCo-Founder, Co-CEO
  2. Until 2025FAIR (Meta)Intern
  3. 2020–2024Meta
  4. 2019Google DeepMind

Education

  1. 2020Georgia Institute of TechnologyPhD
  2. Indian Institute of Technology RoorkeeBachelor's

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

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Abhishek Das. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. 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.
  3. 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.
  4. 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.

Colleagues

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

Sources and credits

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

  1. Abhishek Das abhishekdas.com. Checked 20 October 2026.
  2. [1703.06585] Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning arxiv.org. Checked 20 October 2026.
  3. [1610.02391] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization arxiv.org. Checked 20 October 2026.
  4. See and Say: Abhishek Das Working to Provide Crucial Communication Tools for Intelligent Agents cc.gatech.edu. Checked 20 October 2026.
  5. [1711.11543] Embodied Question Answering arxiv.org. Checked 20 October 2026.
  6. [2010.09990] The Open Catalyst 2020 (OC20) Dataset and Community Challenges arxiv.org. Checked 20 October 2026.
  7. Exclusive: Ex-Meta AI leaders debut an agent that scours the web for you in a push to ultimately give users their own digital ‘chief of staff’ fortune.com. Checked 20 October 2026.