Wanheng Zhang is a biostatistics-focused research scientist with 8 years of experience applying statistical modeling and machine learning to preclinical and clinical data. Currently a Graduate Research Assistant at MD Anderson Cancer Center and pursuing a PhD at UTHealth, he has designed classification and regression models for healthcare problems and developed methods for estimating heritability in family and twin binary data. His background blends academic rigor—from simulation studies and mixed models at Purdue—to applied ML on medical imaging at VoxelCloud, where he helped predict EGFR mutational status from CT scans. Comfortable with large-scale data cleaning and quantitative analysis, he seeks roles that translate data-driven insights into preclinical strategies and healthcare decision-making. A useful but less obvious strength is his cross-sector experience, which couples pharma consulting communication skills with deep statistical methodology.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Wuhan University
Master's degree, Biostatistics, Master's degree, Biostatistics at Georgetown University
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at The University of Texas Health Science Center at Houston (UTHealth)
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