Pan Tong is an applied scientist with 12 years of experience applying statistical rigor and machine learning to messy, high-dimensional biomedical and observational data. With a Ph.D. in Biostatistics and a background in bioinformatics, he built genomics analytics pipelines and designed trials and predictive models at MD Anderson before moving into production ML roles at Facebook and currently Amazon. He combines academic depth in study design and causal inference with hands-on engineering skills to deploy models that inform clinical and business decisions. Based in the San Francisco Bay Area, he is a self-starter who thrives on turning complex datasets into actionable insights and has a track record of translating research-grade methods into scalable systems.
12 years of coding experience
2 years of employment as a software developer
B.E., Bioinformatics, B.E., Bioinformatics at Huazhong University of Science and Technology
Ph.D., Biostatistics, Ph.D., Biostatistics at The University of Texas Health Science Center at Houston (UTHealth Houston)
Contributions:6 pushes, 1 branch in 1 year 2 months
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