Michelle To is a Stanford sophomore studying Molecular, Cellular, and Organismal Biology and Computer Science who blends bench research with computational methods to accelerate translational, prevention-focused healthcare. She runs in vivo and in vitro experiments—mass spectrometry, neuronal cell culture, and Western blots—to probe an appetite-suppressing peptide that uniquely preserves muscle mass, while previously building ML pipelines (CNNs and vision transformers) to classify fibroblast morphology and screen 500 drugs for anti-fibrotic hits. Beyond the lab, Michelle co-coordinates community medicine programs, serves as a Mandarin interpreter and patient navigator at a free clinic, and helps govern Asian Health Services as a board member, demonstrating a rare mix of technical rigor and community-engaged public health leadership. She has experience deploying web tools for clinical quality improvement and a track record of organizing science outreach across institutions, signaling strong project management and cross-cultural communication skills. Ambitious and translationally minded, she’s equally at home writing code, running assays, or designing equitable programs that connect research to underserved patients.
10 years of coding experience
4 years of employment as a software developer
Proof School
Molecular Biology and Computer Science, Molecular Biology and Computer Science at Stanford University
Official source code of the "Zhongwen" Chrome extension
Contributions:13 pushes in 1 year 1 month
chromezhongwenchrome-extension
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