Christopher Lee is an interdisciplinary undergraduate researcher at UC Berkeley studying neurobiology, molecular and cell biology, and data science, with a track record of applying computational tools to experimental neuroscience. He investigates striatal patch function in dopamine circuits using fiber photometry, optogenetics, immunohistochemistry, and Neuropixels data processing, while contributing Python-based data cleaning, visualization, and manual spike-sorting. Beyond neuro labs, he has researched bacterial motility mechanisms and designed plasmids, demonstrating comfort across molecular techniques and bioinformatics. He also mentors and leads undergraduate labs, tutors introductory statistics (R/tidyverse), and trains as an EMT and CPR instructor—bridging bench science, teaching, and frontline medical response. With roughly a decade of related experience despite undergraduate status, he brings pragmatic experimental rigor plus computational fluency to projects at the intersection of neuroscience and data science.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Cell/Cellular and Molecular Biology, Bachelor of Science - BS, Cell/Cellular and Molecular Biology at University of California, Berkeley
Contributions:67 commits, 60 pushes, 1 branch in 8 months
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