Mo Huang

Associate Director, Biostatistics

Pennsylvania, United States
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Summary

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Senior
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Top School
Mo Huang is an Associate Director of Biostatistics at Pfizer with eight years of experience applying rigorous statistical methods to oncology clinical trials, currently focused on thoracic malignancies. With a PhD in Statistics from Wharton and hands-on experience building the SAVER R package for single-cell RNA-seq, Mo bridges advanced methodological research and practical trial design and reporting. Prior roles at Merck spanned early- and late-stage oncology work including translational biomarker analysis, and internships at Genentech and Genome Institute added reproducible analytics and cancer-genomics exposure. Known for integrating deep learning tools (Keras, PyTorch) into biological workflows, Mo combines academic rigor with regulatory-facing clinical development expertise based in Pennsylvania.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Washington University in St. Louis
bookDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at The Wharton School
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Github Skills (9)

rna-seq10
figure10
imputation6
r-package6
biostatistics4
clinical-trials3
r3
sequential2
machine-learning1

Programming languages (1)

R

Github contributions (5)

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mohuangx/SAVER

Dec 2017 - Jun 2022

Single-cell RNA-seq Gene Expression Recovery
Contributions:17 releases, 48 commits, 1 PR in 4 years 6 months
rna-seq
mohuangx/SAVER-paper

May 2018 - Jan 2021

Scripts for data and figure generation in SAVER paper
Contributions:10 commits, 1 PR, 8 pushes in 2 years 7 months
saverfigure
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