David Chang
Lecturer at Yale University
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolDavid Chang is a computational biologist and lecturer with nine years of experience bridging NLP, knowledge representation learning, and biomedical data science. He recently completed a PhD at Yale and transitioned from lead biomedical data scientist roles at nference into academia while maintaining product-focused data science experience. His work synthesizes cutting-edge research in natural language processing with practical healthcare applications, informed by an internship at IBM and hands-on product development. Based in New Haven, he combines rigorous mathematical training from Amherst with deep domain expertise in biomedical informatics. Colleagues note his ability to translate complex models into usable tools for clinicians and researchers, and he has a track record of moving prototypes toward production in collaborative environments.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Amherst CollegeDoctor of Philosophy (PhD), Computational Biology and Bioinformatics, Doctor of Philosophy (PhD), Computational Biology and Bioinformatics at Yale University
Github Skills (50)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
speech-recognition10
nlp10
transformers9
graph9
language-model9
bert9
tensorflow9
jax9
graph-convolutional-networks9
Programming languages (3)
Github contributions (5)
dchang56/dchang56.github.io
Jun 2018 - Jul 2018
Contributions:87 pushes in 23 days
dchang56/n2c2_2019_medsts
Jan 2020 - Jan 2021
Contributions:2 pushes, 1 branch in 1 year
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