About Me

Based in New York City, Rachel is a core research scientist at Turing, where she uses neurosymbolic methods to drive innovation in frontier models on the STEM Research team. Graduating from Columbia University with a bachelor’s degree in cognitive science, she brings an empirically grounded rigor from behavioral and biological sciences to causal reasoning, neurosymbolic AI, and formal methods. Drawing from experience in neuroepidemiology at the Columbia Medical Center, past research at the University of Cambridge, and co-authored work published in Nature Human Behavior, this foundation now translates to her current role, where an understanding of flexible human cognition drives principled design choices in neurosymbolic architectures and benchmark design.

During her final year at Columbia, Rachel completed her undergraduate senior thesis with the Formal Methods & Reasoning Group (FoRG), under the supervision of Professor Mark Santolucito. Her research on human causal reasoning as finite-state dynamics went on to earn the academic prizes for “Distinction in Senior Thesis” and "Interdisciplinary Distinction for Exceptional Research Incorporating Methods from Multiple Disciplines” from the Cognitive Science department. She continued this line of inquiry the following summer, conducting research with Professor Santolucito, speaking about her work at frontier AI companies, and presenting her research at international conferences.

Rachel will be permanently relocating to San Francisco in October, 2026.