Summary
Ashok Sharma is a computational biologist with 11 years of experience specializing in multi-omics and single-cell approaches to digestive and liver diseases, currently leading single-cell and host–microbe investigations at Cedars-Sinai. He blends academic rigor from a PhD in Computational Biology with industry experience in predictive modeling and safety-focused transcriptomics at Takeda, building pipelines for splicing analysis, integration workflows, and visualization tools. His work spans metagenomics, metabolomics, imaging mass cytometry, and spatial transcriptomics to reveal non-immune cellular drivers of IBD and host responses to pathobionts. Known for translating complex multi-omics datasets into actionable insights, he also supports grant development, power analysis, and collaborative translational projects. Based in Davis, CA, Ashok combines deep computational expertise with hands-on mentorship and a track record of applying AI/ML methods to biomarker discovery and drug-safety questions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Indian Institute of Science Education and Research, Bhopal
Master of Science (M.S.) Pharmacoinformatics, Master of Science (M.S.) Pharmacoinformatics at National Institute of Pharmaceutical Education and Research
B.Pharm Pharmacy, B.Pharm Pharmacy at Dr. Harisingh Gour University (Sagar University)