Ke Tang is a Principal Bioinformatics Scientist II and Tech Lead at Roche, bringing a Ph.D. in Bioinformatics and extensive expertise in Genomics, Proteomics, and computational genomics. With a decade of experience in bioinformatics and five years in cancer research, Ke has innovated in drug discovery by developing software for 3D protein structure prediction and enhancing variant calling algorithms. They have published over ten peer-reviewed papers, including four as the first author in high-impact journals, and possess strong technical skills in programming and data analysis. Ke's prior roles include positions at the University of Illinois at Chicago and Admera Health, where they contributed to significant advancements in cancer diagnostics and data analysis pipelines. Currently, they pursue a Master's degree in Biology at the University of Leeds.
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