Julia Wang
Data ML Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJulia Wang is a Data ML Scientist and computational biologist with nine years of experience applying deep learning and probabilistic modeling to EEG, neural recordings, and multi-omic spatial and single-cell genomics. She earned a PhD in Computational Neuroscience from Cold Spring Harbor Laboratory, where she developed unsupervised VAE-based methods for characterizing spatiotemporal brain state heterogeneity, and has translated that research into industry roles building algorithms for transcriptomics and production ML systems. Based in Cambridge, MA, Julia blends theoretical rigor with practical engineering—from TensorFlow Extended model validation at Google to production ML and research scientist roles at biotech startups. She is passionate about storytelling with data and using models to reveal mechanistic insights across scales, often working at the intersection of time-series neural data and spatial genomics. An understated strength is her cross-domain fluency: she routinely bridges neuroscience theory, statistical methods, and scalable ML implementation to move ideas from concept to application.
9 years of coding experience
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Cold Spring Harbor LaboratoryBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University
English, Chinese, Spanish
Github Skills (46)
extraction9
nlp8
compression8
embedding8
sentiment8
sentiment-analysis8
language-understanding8
information-extraction7
retrieval7
search-engine7
lda7
question-answering7
korean-nlp7
classification7
sentence-similarity7
Programming languages (1)
Github contributions (5)
JingWang-RU/JingWang-RU.github.io
Sep 2022 - Feb 2023
Contributions:126 commits, 131 pushes, 2 branches in 4 months
JingWang-RU/adaptive-sparse-representation
Jul 2016 - Mar 2018
Contributions:8 commits, 18 pushes, 1 branch in 1 year 8 months
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