Candace Ross is a research scientist at Meta with a decade of experience at the intersection of AI, cognition, and perception, currently building on a deep academic foundation as a fourth-year MIT computer science PhD. Her work spans industry and academia—from postdoc and research roles at Meta and MIT to interdisciplinary internships at ARL, CMU, and Harvard—focused on modeling human memory, social code-switching, and cognitive-inspired AI. A NSF Graduate Research Fellow and Ford Foundation Predoctoral Fellow, she combines rigorous machine learning with cognitive science and linguistics to tackle problems that bridge neural, behavioral, and computational perspectives. Based in New York, she brings proven experience translating psychophysics and annotated social datasets into predictive models, and is known for blending field-style data collection with principled ML modeling.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Massachusetts Institute of Technology
Computer Engineering, Computer Engineering at United States Naval Academy
Bachelor of Science (B.S.), Computer Engineering, Bachelor of Science (B.S.), Computer Engineering at Howard University
Contributions:57 commits, 48 pushes, 1 branch in 1 day
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