Ha Dang
Principal Scientist at Bristol Myers Squibb
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolHa Dang is a Principal Scientist with 11 years of experience applying bioinformatics and computational biology to cancer research, currently advancing target and biomarker discovery at Bristol Myers Squibb in San Diego. With a PhD from Virginia Tech and a BE in Computer Science, Ha combines rigorous computational training with domain expertise in multi-modal data integration and drug mechanism dissection. Their work focuses on cancer heterogeneity and translational analytics, turning complex datasets into actionable biological insights. Ha maintains an active scholarly presence (Google Scholar) and emphasizes building computational tools that accelerate hypothesis generation and validation. Known for bridging algorithm development and practical application, Ha brings both research pedigree and industry impact to therapeutic discovery. An underappreciated strength is fluency across both algorithmic design and production-ready analysis, enabling rapid iteration from concept to experimental follow-up.
11 years of coding experience
Virginia TechBachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Hanoi University of Science and Technology
Vietnamese, English
Github Skills (15)
bioinformatics10
evolution10
sequencing10
bioconductor6
bam5
minhash5
genome5
genomics4
knife3
simulate2
bedtools2
visualization1
plot1
r-package1
architecture1
Programming languages (3)
Github contributions (5)
hdng/clonevol
Mar 2015 - Nov 2018
Inferring and visualizing clonal evolution in multi-sample cancer sequencing
Contributions:335 commits, 1 PR, 215 pushes in 3 years 9 months
clonalevolutionsequencingcancerbioinformatics
ChrisMaherLab/ClonEvol
Sep 2017 - Sep 2017
Contributions:7 commits, 12 pushes, 1 branch in 1 day
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