Summary
Ellie Kitanidis is a Principal Research Scientist in Palo Alto with a decade of experience at the intersection of AI and physics, currently leading a foundation models team at Code Metal. An OpenAI Scholar and former OpenAI fellow, she has driven research in contrastive learning, reinforcement learning, and large language models through roles at Imbue and OpenAI. Her Ph.D. in Physics from UC Berkeley and years of cosmology research (Berkeley Lab, SLAC) inform a quantitative, principled approach to model design and scientific ML. She combines hands-on algorithm development with team leadership, having mentored and instructed data-science capstone teams and led research groups. Notably, her background bridges deep domain knowledge of the universe’s large-scale structure with practical advances in modern AI systems.
10 years of coding experience
11 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at University of California, Berkeley
B.S. Physics, B.S. Physics at Stanford University
Greek, English