Hank N
Associate Director - KEYTRUDA Payer Marketing
United States
Summary
👤
Senior🎓
Top SchoolHank N is a healthcare-focused commercial leader and former R&D engineer with 10 years of experience bringing complex biologics from lab to market. After engineering roles at Eli Lilly—where he helped develop a purification process for a COVID-19 neutralizing antibody that contributed to an early EUA—he pivoted into oncology marketing via an MBA from Duke Fuqua and now leads KEYTRUDA payer marketing for GU and lung indications at Merck. He combines technical fluency in biologics development with strategic commercialization skills, having launched the KEYTRUDA + Padcev bladder cancer regimen and supported multiple KEYNOTE programs. Colleagues describe him as someone who bridges bench science and market access, intentionally translating technical risk into payer-facing value stories.
10 years of coding experience
4 years of employment as a software developer
Master of Business Administration - MBA, Health Sector Management, Strategy, Master of Business Administration - MBA, Health Sector Management, Strategy at Duke University - The Fuqua School of BusinessBachelor of Science (BS), Chemical Engineering, Bachelor of Science (BS), Chemical Engineering at Michigan State University
English, Vietnamese
Github Skills (52)
learning-rate9
protobuf8
rpc8
serialization8
protocol-buffers7
ide7
backtracking7
finder7
anaconda6
language-server-protocol6
python6
development-environment5
protoc5
qt5
face5
Programming languages (3)
Github contributions (5)
hank-nguyen/MBT-optimizer
Apr 2019 - Nov 2020
Using backtracking line search as learning rate finder for Neural Nets. Pytorch repo.
Contributions:6 commits, 2 PRs, 1 push in 1 year 7 months
pytorchline-searchlearning-ratedeep-learningnets
Russell91/TensorBox
Mar 2017 - Mar 2017
Object detection in TensorFlow. Brought to you by Kuprel Industries.
Contributions:1 comment in 18 days
deep-learningobject-detectionindustriestensorflow
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