Hello, My name is Ashok Kumar Sharma and I am a Senior Bioinformatics Scientist at Cedars-Sinai Medical Center, specializing in analyzing a wide range of multi-modal datasets to uncover host-microbiome interactions and their role in animal and human health. My work focuses on developing and optimizing computational pipelines, leveraging AI/ML for biomarker discovery, and supporting translational research in digestive and liver diseases.
I am passionate about understanding complex biological systems through innovative computational approaches. My research focuses on developing and applying advanced bioinformatics tools, pipelines, and AI/ML models to analyze and integrate multi-omics datasets (genomics, transcriptomics, metabolomics, and proteomics) to uncover the molecular mechanisms underlying health and disease. Specifically, I am interested in:
- Host-Microbiome Interactions: Investigating how microbial communities influence host physiology and contribute to diseases such as inflammatory bowel disease (IBD) and metabolic disorders.
- Multi-Omics Data Integration: Designing scalable, reproducible pipelines to integrate and analyze diverse omics datasets, enabling biomarker discovery and systems-level insights.
- AI/ML in Biology: Leveraging machine learning and statistical models for predictive analytics, patient stratification, and biomarker identification in translational and clinical research.
- Spatial and Single-Cell Omics: Exploring cell-specific gene expression patterns and spatial organization of tissues to understand disease progression and therapeutic responses.
- Translational Bioinformatics: Bridging computational biology and clinical research to develop data-driven solutions for personalized medicine and drug discovery.
My work is driven by a commitment to advancing biological knowledge through computational innovation, collaboration, and open science.
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Bioinformatics Scientist II, Cedars-Sinai (2024–Present)
Providing computational support for multi-omics data analysis and integration, optimizing pipelines, and guiding experimental design to advance clinical and translational research in digestive and liver diseases -
Scientist II, Computational Biology, Takeda Pharmaceuticals (2023–2024)
Delivered AI/ML-driven safety risk assessments, predictive modeling, and transcriptomic analyses for drug discovery. -
Postdoctoral Scientist, Cedars-Sinai (2021–2023)
Investigated pathogenic factors in IBD using multi-omics approaches. -
Postdoctoral Associate, University of Minnesota (2018–2021)
Advanced microbiome-host interaction studies using multi-omics data analysis and integration.
- Ph.D. in Computational Biology (2013–2018) – IISER Bhopal
Thesis: Development of Computational Models for the analysis of large-scale genomic and metagenomic datasets - M.S. in Pharmacoinformatics (2010–2012) – NIPER Mohali
Thesis: Modeling and designing Glycogen Synthase Kinase-3 Inhibitors - B.Pharm (2006–2010) – Dr. H.S. Gour University
Explore my work on:
I am always open to discussing research ideas, data analysis challenges, or potential collaborations. If you would like to brainstorm or co-develop something impactful, don’t hesitate to get in touch! 📧 Email: compbiosharma@gmail.com or ashoks773@gmail.com