Emily Huang
Machine Learning Engineer at FreeWheel
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEmily Huang is a Machine Learning Engineer with nine years of experience blending computational neuroscience and computer science, currently applying ML at FreeWheel after completing graduate work at MIT. Her research has focused on identifying neuronal cell types and linking waveform-derived clusters to cognition and prediction, complemented by hands-on work in algorithm design (CRDTs) and Bayesian modeling. She teaches core algorithmic concepts, builds reproducible research pipelines, and has a creative side—producing documentary and promotional video work that informs her data storytelling. Based in New York, she brings a rare combination of deep neural data expertise and production-grade engineering, comfortable moving projects from biological insight to production ML systems.
8 years of coding experience
4 years of employment as a software developer
Ward Melville Senior High SchoolMaster of Engineering - MEng, Computer Science and Neuroscience, Master of Engineering - MEng, Computer Science and Neuroscience at Massachusetts Institute of Technology
Github Skills (4)
spotify-api1
spotify1
spotify-queue1
queue1
Programming languages (4)
Github contributions (5)
googleinterns/scsi2nvme
May 2020 - Aug 2020
Contributions:169 commits, 86 PRs, 433 pushes in 3 months
eyhhuang/mapmapp
Sep 2018 - Sep 2018
Contributions:4 PRs, 11 pushes, 2 branches in 9 days
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