Sanna Madan
PhD Student at National Cancer Institute (NCI)
Washington, District of Columbia, United States
Summary
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SeniorSanna Madan is a PhD student in computer science based in Washington, DC, focusing on AI, precision oncology, and aging research. Over nine years, she has bridged academia, biotech, and startups, contributing to cancer genomics as a research fellow at NCBI where she helped develop fast algorithms to predict driver genes from cancer data. Earlier in her career, she collaborated with the Weizmann Institute on novel genetic interactions in melanoma and built machine learning models for collider data at CMS/CERN, showcasing a versatile ML toolkit. She co-founded Senvision and has led technology and education initiatives, including Course Co-Founder for CMSC389I: Disrupting Healthcare with AI, and served as an Engineering Fellow at Kleiner Perkins. She is currently at NCI as a PhD student, blending research with applied software development at the health- and biology-focused intersection of data science. Based in DC, she brings entrepreneurial drive, cross-disciplinary collaboration, and a practical, hands-on approach to turning complex biomedical challenges into AI-powered solutions.
9 years of coding experience
2 years of employment as a software developer
Hindi, Punjabi, Spanish, English
Github Skills (1)
umd3
Programming languages (2)
Github contributions (5)
lookcw/Senvision
Aug 2016 - Jun 2017
Contributions:152 commits, 1 comment in 9 months
smadan20/single-cell-marker-gene-detection
Dec 2020 - Feb 2022
Contributions:17 commits, 16 pushes, 1 branch in 1 year 2 months
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