Summary
Jasmine Collins is a research scientist with nine years of experience at the intersection of computer vision and human perception, currently advancing visual AI at Databricks after internships and research roles at Meta FAIR, Amazon, and Google Brain. She holds a PhD in Computer Science from UC Berkeley and a dual BS in Neuroscience and Computer Science from the University of Pittsburgh, giving her a rare blend of computational rigor and cognitive insight. Her work focuses on teaching machines to perceive scenes as 3D object collections with minimal supervision and using computational tools to probe human perceptual processes. Across industry research and academic collaborations, she balances theory and pragmatic experimentation, moving ideas from lab prototypes toward real-world systems. Based in Oakland, she pairs deep technical training with interdisciplinary curiosity, often drawing on neuroscience perspectives to inform model design and evaluation.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Berkeley
Bachelor of Science - BS Neuroscience and Computer Science, Bachelor of Science - BS Neuroscience and Computer Science at University of Pittsburgh