Sanha Lee is a research scientist at Meta and a final-year PhD candidate in Cheminformatics at the University of Cambridge, combining rigorous academic training with applied machine learning research in audio. With a first-class degree from Imperial College London, five publications, and prestigious scholarships, she brings a strong foundation in data science, coding, and computational chemistry. Sanha has industry experience shipping ML work at Meta and Audio Analytic, and an unusual creative background as a successful music producer with multiple label deals and 100k+ streaming milestones. Her early research roles at Oxford and Imperial demonstrate deep skills in DFT, molecular dynamics, and scientific software, while extracurricular leadership—Head of Marketing for ICDSS and volunteer accreditation—highlights her communication and team-building strengths. This blend of scientific rigor, practical ML engineering, and creative production gives her a distinctive perspective on signal processing and audio research problems.
10 years of coding experience
Doctor of Philosophy - PhD, Cheminformatics, Doctor of Philosophy - PhD, Cheminformatics at University of Cambridge
Chemistry with Molecular Physics, Natural Sciences, First Class Honours, Dean's List (top 10% in the year), Chemistry with Molecular Physics, Natural Sciences, First Class Honours, Dean's List (top 10% in the year) at Imperial College London
Introduction to Data Analysis, Data Science, Introduction to Data Analysis, Data Science at Udacity
GCSEs: 10A*s 1A, A-levels: 4A*s 2As and 1A in AS, GCSEs: 10A*s 1A, A-levels: 4A*s 2As and 1A in AS at Harrow School
Codes from Rapid Route-Finding for Bifurcating Organic Reactions publication [S. Lee and J. M. Goodman, J. Am. Chem. Soc., 2020, 142, 9210–9219]
Contributions:3 commits, 1 PR, 2 pushes in 2 years 3 months
leefindingchemrapidsoc
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