Akshay K. Jagadish
Research Fellow, Princeton AI Lab
June 2026 Preprint out on "Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist"
June 2026 Preprint out on "Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models"
June 2026 Selected for the National Geographic Storytellers Workshop!
May 2026 Preprint out on "Post-training Makes Large Language Models Less Human-like"
May 2026 "Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior" accepted at CCN 2026!
April 2026 "Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences" accepted at CCN 2026!
April 2026 "Automated Discovery of Psychological Representations using Language Model Agents" and "Pipeline for Systematic Curation of Human Experiments" accepted to CogSci 2026!
March 2026 Preprint out on "Can We Automatize Scientific Discovery in the Cognitive Sciences?"
December 2025 Recognized as a Top 10% Reviewer (main track) for NeurIPS 2025.
September 2025 Defended my Ph.D. in Computer Science with Magna cum Laude at the University of Tübingen.
August 2025 Awarded the Peretsman Scully Postdoctoral Fellowship to conduct independent research in the Natural and Artificial Minds program at the Princeton AI Lab.
July 2025 The New York Times featured our work on A foundation model to predict and capture human cognition in a piece titled "Scientists Use A.I. to Mimic the Mind, Warts and All".