Summary
Rakesh Ramachandran is a Senior Data Scientist with 11 years of experience applying machine learning, statistical inference, and molecular modeling to predictive biology and protein design. He has built scalable, production-ready pipelines—using AlphaFold, Kubernetes, PyTorch and RAG techniques—for protein–protein interaction prediction, remote homolog discovery, and automated literature-driven enzyme discovery. His background as a PhD-trained computational biologist and postdoc in cryo-EM gives him deep expertise integrating physical theory, experimental data (cryo-EM, cross-linking) and evolutionary information to extract biological insights. At Corteva he has translated research prototypes into resource-efficient tools that replace heavier AlphaFold workflows, accelerating R&D across host–pathogen interactions and trait discovery. Colocated in Johnston, Iowa, he pairs algorithmic rigor with practical engineering to deliver fast, interpretable solutions for molecular problems.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Indian Institute of Science (IISc)
Jawaharlal Nehru Technological University Hyderabad
Master of Technology (M.Tech.), Bioinformatics, Master of Technology (M.Tech.), Bioinformatics at University of Hyderabad
English, Hindi, Tamil, Telugu, Malayalam