Jiachang Liu
Assistant Research Professor at Cornell University
City of Ithaca, New York, United States
Summary
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Senior🎓
Top SchoolJiachang Liu is an Assistant Research Professor at Cornell University who brings nine years of expertise at the intersection of machine learning and mathematical optimization. His research focuses on building ML models for high-stakes domains like healthcare, finance, and scientific discovery, while also designing algorithms that exploit both continuous and discrete optimization to achieve orders-of-magnitude speedups. Trained with a PhD in Machine Learning from Duke and a dual background in physics and mathematics from the University of Michigan, he blends theoretical depth with practical software development, producing user-friendly open-source tools for the ML community. Based in Ithaca, he is notable for translating complex optimization theory into scalable implementations that make rigorous methods accessible to practitioners.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Duke UniversityBachelor’s Degree, Physics, Mathematics, Bachelor’s Degree, Physics, Mathematics at University of Michigan
Github Skills (88)
python10
audio10
pytorch10
multimodal9
nlp9
transformer9
deep-learning9
graph-convolutional-networks9
sequence-to-sequence9
llm9
machine-learning9
speech-recognition9
artificial-intelligence9
natural-language-processing9
graph-neural-network9
Programming languages (7)
Github contributions (5)
interpretml/FasterRisk
Oct 2022 - Dec 2022
Create sparse and accurate risk scoring systems!
Contributions:60 commits, 1 PR, 41 pushes in 2 months
interpretml/fastSparse
Feb 2022 - Dec 2022
Contributions:1 review, 16 commits, 1 PR in 10 months
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