Chaitanya Joshi is a research scientist and computational scientist with 10 years of experience applying software engineering, simulations, and machine learning to challenging physics and bioinformatics problems. He designed and implemented a domain-specific scripting language (Morpho) for shape-changing physics, led GPU-accelerated rewrites that sped a DNA codec pipeline 50×, and co-invented two patent-pending technologies in DNA computing. His work bridges theory and experiment—using data-driven discovery to extract dynamical equations of active fluids and packaging analysis tools into production-ready Python libraries. Comfortable across C/CUDA, Python, and developer tooling, he also quantifies system-level tradeoffs (including end-to-end energy models) to inform technical strategy and investor-facing narratives. Based in Lowell, MA, he combines academic rigor from a Physics PhD with hands-on engineering that stabilizes critical pipelines and mentors teams.
10 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at University of Illinois Chicago
Bachelor of Engineering (BEng), Mechanical Engineering, Bachelor of Engineering (BEng), Mechanical Engineering at K J Somaiya COE
Contributions:15 pushes, 1 branch in 3 years 3 months
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