Summary
Darren Liu is a PhD candidate in Biophysics at the University of Chicago with nine years of research and full-stack development experience bridging computational biology and lab automation. He builds automated workflows that combine molecular evolution experiments, liquid handling, and image segmentation to probe protein evolvability, and develops modeling families to identify key evolutionary parameters. His background includes molecular dynamics, spatial transcriptomics image segmentation with OpenCV and PyTorch, and RNA-seq analysis on HPC, reflecting strong computational and experimental fluency. Darren also teaches computational biology to K–12 students through UChicago outreach, showing a commitment to science education and community engagement. Based in Chicago, he blends software engineering practices (GitHub-based workflows) with hands-on wet-lab insight to translate complex biological questions into reproducible, data-driven pipelines.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of Chicago
Bachelor's degree, Chemistry: Biochemistry, Bachelor's degree, Chemistry: Biochemistry at Boston University