PeopleofSuperintelligence

Researcher

Aditya Khosla

Aditya Khosla is a computer-vision researcher and AI founder whose work spans human visual memory, pathology, and insurance. He studied at Caltech and Stanford and earned a computer science PhD at MIT. His research produced algorithms that change face memorability, predict which images people remember, and interpret deep neural networks. He co-founded PathAI in 2016 to apply machine learning to pathology. As of October 2026, he is co-founder and CEO of Farsyt, which is building an AI-native brokerage to automate how insurance is bought, sold, and operated.

Now at
Farsyt
Works
92
Citations
76,215
h-index
38
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2013

    Changing face memorability

    In 2013, he and his coauthors develop an algorithm that alters face photographs to make people more or less memorable while preserving their identity, age, and gender.

  2. 2015

    Image memorability models

    In 2015, he coauthors Understanding and Predicting Image Memorability at a Large Scale. MIT researchers introduce MemNet, a deep-learning algorithm that predicts how memorable images are almost as accurately as people, and publish LaMem, a dataset of 60,000 images annotated for popularity and emotional impact.

  3. 2016

    Co-founding PathAI

    He co-founds PathAI in 2016 and serves as its chief technology officer. The company combines machine learning with anatomic and molecular pathology to create faster, lower-cost diagnostics.

  4. 2017

    Network Dissection

    His education includes a BS in computer science, electrical engineering, and economics at Caltech and an MS in computer science at Stanford. He earns a computer science PhD at MIT. In 2017, he coauthors Network Dissection, a method for measuring how individual units in convolutional neural networks align with visual concepts.

  5. June 2022

    Joining Iterative Scopes

    In June 2022, he joins Iterative Scopes as chief technology officer and a board member. He leads its machine-learning, product management, and software engineering teams for AI-based precision medicine in gastroenterology.

  6. As of October 2026

    Farsyt's AI-native brokerage

    As of October 2026, he is co-founder and CEO of Farsyt. The company is building an AI-native insurtech business that starts with a brokerage and aims to automate how insurance is bought, sold, and operated.

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

Career

  1. NowFarsytCo-founder and CEO
  2. From 2022Iterative ScopesChief Technology Officer and Board Member
  3. 2016–2023PathAICo-founder and Chief Technology Officer
  4. 2013–2017MIT CSAIL

Education

  1. California Institute of TechnologyBS
  2. Stanford UniversityMS
  3. Massachusetts Institute of TechnologyPhD

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

Most-cited works

  1. ImageNet Large Scale Visual Recognition Challenge2015 · International Journal of Computer Vision · 38,914 citationsWith Alexander Berg, Andrej Karpathy, Fei-Fei Li, Jia Deng and Olga Russakovsky
  2. Learning Deep Features for Discriminative Localization2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 11,302 citationsWith Antonio Torralba
  3. 3D ShapeNets: A deep representation for volumetric shapes2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 5,395 citationsWith Shuran Song and Xiaoou Tang
  4. Places: A 10 Million Image Database for Scene Recognition2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 3,972 citationsWith Antonio Torralba
  5. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer2017 · JAMA · 3,280 citationsWith Bram van Ginneken and Pheng‐Ann Heng

From OpenAlex, as of 18 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Massachusetts Institute of Technology. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. Stanford University trained or employed 27 of the 113 AI major-prize winners, more than any other universityIncludes Stanford University. Stanford University trained or employed 27 of the 113 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  3. Google had the most people shaping AI every year from 2014 to 2025Includes Massachusetts Institute of Technology. Our estimates of which organizations employed the most people shaping AI from 1962 to 2025, with a year-by-year chart.
  4. Google has the highest combined h-index among AI organizationsIncludes Massachusetts Institute of Technology. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

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

Sources and credits

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

  1. Never forget a face news.mit.edu. Checked 18 October 2026.
  2. Deep-learning algorithm predicts photos’ memorability at “near-human” levels news.mit.edu. Checked 18 October 2026.
  3. Aditya Khosla · PathAI people.csail.mit.edu. Checked 18 October 2026.
  4. Aditya Khosla, PhD, Joins Iterative Scopes as Chief Technology Officer iterative.health. Checked 18 October 2026.
  5. Network Dissection: Quantifying Interpretability of Deep Visual Representations arxiv.org. Checked 18 October 2026.
  6. Farsyt | AI-Native Insurance Technology farsyt.com. Checked 18 October 2026.