Yadu Sarathchandran is an R&D Data Scientist with eight years of experience applying machine learning and analytics to open-ended research problems, currently driving ML work at Tula Health in San Francisco. He combines rigorous academic training—a Ph.D. in Physics from the University of Tennessee and Oak Ridge National Laboratory—with practical product-focused experimentation to translate complex models into actionable insights. Comfortable across the research-to-production gap, he leverages physics-informed thinking and statistical rigor to solve noisy, real-world healthcare data challenges. His background from IISER Thiruvananthapuram to a U.S. national lab reflects deep quantitative instincts and a habit of framing problems from first principles. Known for curiosity-driven solutions, he blends hypothesis-led research with iterative engineering to deliver measurable impact.
8 years of coding experience
BS-MS Dual Degree, BS-MS Dual Degree at Indian Institute of Science Education and Research, Thiruvananthapuram
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Tennessee, Knoxville
Contributions:2 PRs, 26 pushes, 3 branches in 2 years 11 months
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