Summary
Ming Chen is a computational pathology and data science leader with 11 years of experience applying statistical and machine learning methods to biomedical problems. Currently Director of Computational Pathology at Caris Life Sciences after progressing through senior data science leadership roles there, he blends a PhD in Computational Biology and an MS in Statistics to translate complex genomics and clinical data into actionable insights. Known for choosing tools deliberately and learning quickly, he thrives on persistent problem-solving and adapting methods to shifting priorities in translational research. Based in Texas, he has experience across industry contexts—from startups to insurance and diagnostics—giving him a pragmatic, production-focused approach to deploying models in regulated environments. An underappreciated strength is his ability to bridge deep technical rigor with operational delivery, ensuring research innovations reach clinical impact.
11 years of coding experience