Summary
Yu-cheng Lin is an associate professor and computational biologist with nine years of experience bridging molecular biology, cancer genomics, and machine learning to drive NGS-informed discovery. Trained as a dentist and later earning a PhD in Biological Sciences from Columbia, he combines clinical insight with deep expertise in Python, cloud computing, and bioinformatics. His career spans academic research and industry roles—including postdoc work in Boston and data-science driven computational biology at LifeMine in New York—bringing both translational and production-facing perspectives. He leads research and teaching at National Yang Ming Chiao Tung University, developing reproducible pipelines and ML models for cancer genomics. Known for pragmatic, code-first problem solving, he routinely integrates scalable cloud workflows with experimental design to accelerate hypothesis testing.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Microbiology and Biochemistry, Master of Science (MS) Microbiology and Biochemistry at National Taiwan University
Doctor of Philosophy - PhD Biological Sciences, Doctor of Philosophy - PhD Biological Sciences at Columbia University
English, Chinese