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.
8 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Mathematics, Bachelor's Degree Mathematics at Washington University in St. Louis
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at The Wharton School
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