Summary
Chitrasen Mohanty is a multidisciplinary computational biologist and data scientist with 13 years of experience applying machine learning, deep learning, and graph methods to genomics, vaccine data, and large-scale telecom systems. Currently a Postdoctoral Research Associate at the Morgridge Institute, he builds GNN and generative-AI solutions and previously engineered analysis pipelines for single-cell and spatial transcriptomics at UW SMPH. At Sanofi he translated molecular features into predictive models for mRNA vaccine reactogenicity and shipped an interactive Dash app to prioritize LNP candidates, combining wet-lab insight with production-grade tooling. His background includes leading big-data graph engineering for telecom at Jio (an 80M-node social graph) and production ML systems across industry, reflecting a rare blend of academic rigor and large-scale product experience. Proficient in Python, R, PyTorch, Hugging Face, RDKit and cloud/workflow tooling, he favors open, reproducible pipelines and pragmatic ML that answer biology-driven questions.
13 years of coding experience
18 years of employment as a software developer