Julia Wang

Data ML Scientist

Cambridge, Massachusetts, United States
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Summary

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Senior
🎓
Top School
Julia 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.
code10 years of coding experience
bookDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Cold Spring Harbor Laboratory
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University
languagesEnglish, Chinese, Spanish
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Github Skills (16)

bert7
question-answering7
sentiment-analysis7
compression7
nlp6
information-extraction6
natural-language-processing6
llm5
embedding5
search-engine5
distributed-training4
transformers4
paddlepaddle3
llama3
neural-search3

Programming languages (1)

Python

Github contributions (5)

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Contributions:126 commits, 131 pushes, 2 branches in 4 months
Contributions:8 commits, 18 pushes, 1 branch in 1 year 8 months
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