Skylar Zeng is a public health scientist with eight years of research and laboratory experience focused on bacterial genomics, antimicrobial resistance, and hospital epidemiology. Currently at the University of Michigan Medical School, Skylar processes whole-genome sequencing data to resolve Clostridioides difficile transmission questions and align genomic evidence with infection prevention practices. Their background spans large-scale cross-sector AMR data integration and policy evaluation from work at Shanghai Jiao Tong University, where they harmonized global surveillance datasets and applied causal and longitudinal methods to assess National Action Plans. Comfortable at the bench and in code-driven analyses, Skylar combines wet-lab techniques, variant calling, and statistical modeling to translate complex datasets into actionable infection-control insights. They hold an MPH with a perfect GPA in Hospital and Molecular Epidemiology and a first-class BS in Biology, reflecting both rigor and interdisciplinary breadth. An understated strength is their ability to bridge operational infection control needs with advanced genomic and econometric methods to inform real-world decision making.
8 years of coding experience
4 years of employment as a software developer
Master of Public Health - MPH, Hospital and Molecular Epidemiology, 4.0/4.0, Master of Public Health - MPH, Hospital and Molecular Epidemiology, 4.0/4.0 at University of Michigan
Bachelor of Science - BS, Biology/Biological Sciences, General, 3.71/4.0 (First Class), Bachelor of Science - BS, Biology/Biological Sciences, General, 3.71/4.0 (First Class) at Xi'an Jiaotong-Liverpool University
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