Lisa Jin is a research scientist and ML engineer with a decade of experience applying NLP and representation learning to real-world products and scientific problems. Currently at Meta FAIR, she develops EMG-based neuromotor interfaces and smart glasses, translating advanced research into AR hardware applications. Her background includes a PhD in computer science focused on NLP, high-impact internships building state-of-the-art dialogue rewriting models at Tencent America, and molecular representation work at Lawrence Livermore tied to the ATOM Consortium. Comfortable across deep learning, signal processing, and large-scale data pipelines, she brings both academic rigor and product-minded engineering to multidisciplinary teams in New York. An understated strength is her track record of moving prototypes from research code to production-relevant systems for both consumer and scientific domains.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Michigan
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Rochester
Generalized Shortest-Paths Encoders for AMR-to-Text Generation
Contributions:1 PR, 3 pushes, 2 branches in 2 years 7 months
pathstext-generationencodersshortest-pathsamr
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