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, A, Master of Science (M.S.), Pharmacoinformatics, A at National Institute of Pharmaceutical Education and Research
B.Pharm, Pharmacy, B.Pharm, Pharmacy at Dr. Harisingh Gour University (Sagar University)