Genomics ML at UC San Diego Health - Moores Cancer Center
San Diego, California, United States
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Summary
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Senior
🎓
Top School
Raviteja Vangara is a research engineer and machine learning scientist with a decade of experience building scalable AI systems for computational biology, genomics, and large-scale scientific computing. He led development of the widely used SigProfiler suite for cancer genome analysis and has architected multi-GPU/CPU pipelines that process 50+ TB datasets, work that contributed to an R&D 100 Award. His expertise spans matrix and tensor factorizations, unsupervised latent feature discovery, and generative models—practicalized through innovations like SPMatrixGenerator2 and custom NNLS/forward stagewise algorithms for sparse regression. Raviteja blends deep theoretical training (PhD in Engineering) with hands-on production and open-source impact, having mentored students and released tools cited in top journals. Based in San Diego, he now applies this blend of mathematical rigor and engineering to drive AI solutions in healthcare and industry, often optimizing for reproducibility and interpretable models. An uncommon strength is his track record of translating advanced numerical methods into user-facing, high-performance software used across research and clinical communities.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech), Chemical Engineering, Bachelor of Technology (B.Tech), Chemical Engineering at National Institute of Technology Warangal
Ph.D, ENGINEERING, 4.04, Ph.D, ENGINEERING, 4.04 at The University of New Mexico
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Raviteja Vangara - Genomics ML at UC San Diego Health - Moores Cancer Center