Cheyenne T is a research associate at Lawrence Berkeley National Lab with a decade of experience bridging neuroimaging, data science, and nonprofit program leadership. She specializes in PET and fMRI data management and harmonization for neurodegenerative disease research, bringing hands-on imaging acquisition and advanced QA skills to NIH-funded studies. Currently earning a UC Berkeley MIDS, she pairs rigorous physics and cognitive science training with practical data engineering to improve tracer comparability in Alzheimer's research. Beyond the lab, she has led large grassroots communications and legal projects, running campaigns, workshops, and a 1,200-person conference—skills that inform her collaborative, stakeholder-driven approach to scientific problems. A creative thinker (her GitHub bio hints at a playful futurism), she combines technical depth with persuasive communication to drive interdisciplinary research impact.
10 years of coding experience
4 years of employment as a software developer
Masters in Information and Data Science (MIDS), Masters in Information and Data Science (MIDS) at University of California, Berkeley
Physics, BA | Cognitive Science, BA, Physics, BA | Cognitive Science, BA at UC Berkeley College of Letters & Science
Affiliated High School of National Chengchi University
Contributions:84 pushes, 2 branches, 1 comment in 3 years 8 months
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