Jason Dai is a Bioinformatics Scientist III with 8 years of experience blending software engineering, data science, and computational biology to deliver production-ready bioinformatics solutions. Based in Glendale, CA, he moved from undergraduate research at UC San Diego through Carnegie Mellon’s MS in Computational Biology to roles and internships at Thermo Fisher Scientific, where he now contributes to applied AI and advanced computing in life sciences. He is skilled at turning complex biological data into actionable tools and pipelines, bringing both research rigor and pragmatic engineering to cross-disciplinary teams. Jason’s background spans hands-on research, internship-driven product exposure, and current industry-level development, enabling rapid translation of algorithms into scalable workflows. He often bridges the gap between prototyping novel models and integrating them into regulated, high-throughput environments. Outside core responsibilities he focuses on leveraging AI to innovate across domains in bioinformatics, reflecting a persistent interest in impactful computational methods.
8 years of coding experience
3 years of employment as a software developer
University of California, San Diego
High School Diploma, High School Diploma at Hebron High School
Master of Science - MS, Computational Biology, Master of Science - MS, Computational Biology at Carnegie Mellon University
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