Dat Duong
Staff Scientist at National Human Genome Research Institute (NHGRI)
Bethesda, Maryland, United States
Summary
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Senior🎓
Top SchoolDat Duong is a Staff Scientist with 11 years of experience applying deep learning and statistical methods to rare-label problems in biomedical imaging and genomics. Based at NHGRI in Bethesda, he has advanced GAN-based counterfactual image generation to help clinicians better recognize syndromic phenotypes and trained classifiers across modalities from faces to OCT and x-ray. His PhD work at UCLA combined Transformer models, label-text embeddings, and biological priors to boost recall on rare and unseen protein function labels and improve power in expression-variant association studies. He blends rigorous statistical modeling (from multilevel regression to time-series outlier detection) with hands-on mentorship of students and clinicians. Notably, he quantitatively compared clinician eye-tracking with model saliency to bridge human and machine interpretation in medical imaging.
11 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Los Angeles
English, Vietnamese
Github Skills (144)
python10
deep-learning10
efficientnet10
transformer10
nlp10
natural-language-processing10
pytorch10
machine-learning10
speech-recognition10
encoder9
optimizer9
resnet9
jax9
snorkel9
transformers9
Programming languages (7)
Github contributions (5)
datduong/Find-eQTL-eGene
Feb 2016 - Apr 2020
Contributions:37 pushes, 1 branch, 1 comment in 4 years 2 months
datduong/RECOV
Jan 2017 - Apr 2020
Contributions:22 commits, 21 pushes, 1 branch in 3 years 3 months
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