Scholar
Ananya Kumar
Google Scholar ID: tP5IBFkAAAAJ
Research Scientist, OpenAI
Citations & Impact
Citations
16,154
H-index
23
i10-index
26
Publications
20
Co-authors
28
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple top conference papers, including ICLR Oral (2022), ICML Long Talk (2022), ICLR (2021). Specific papers include 'Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution' and 'Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation'.
Research Experience
- Research Lead at OpenAI, contributing to projects such as o3, o1, and GPT-4.5.
Education
- PhD student at Stanford University, advised by Percy Liang and Tengyu Ma. Focused on pretraining, fine-tuning, and out-of-distribution generalization.
Background
- Research interests include generalization and exploration in reinforcement learning. A Research Lead at OpenAI, core contributor to o1 and gpt-4.5.
Miscellany
- Co-advised several talented undergraduate and master's students at Stanford, some of whom have published insightful papers.
