Speaker Profile

Ph.D., Director, Research Services, Zymo

Biography
Keith Booher has been involved in the biotech sector for 15 years taking on various scientific, business development, and leadership roles. In his current position at Zymo Research, Keith leads the professional research services team, which primarily utilizes NGS technology to answer questions in the field of genomics especially, microbiome, epigenome, and transcriptome focused analysis. In addition, Keith is the Principal Investigator on over $12 million in research grants and contracts from various federal and local entities. Keith is particularly interested in multi-omics approaches that utilize advanced sample prep, cutting edge sequencing, and Artificial Intelligence or Machine Learning tools to help solve the most challenging problems in molecular biology.


Talk
Simple, Custom Workflows to Empower AI-Driven Drug Prediction
A simple, efficient sample collection and gene expression analysis workflow enables scalable transcriptome data generation to power a probabilistic network model of human health that can identify small molecules able to restore a disease back to a healthy state. The platform has already identified re-purposed drugs for rare disease patients with very limited treatment options.


AI and Data Sciences Showcase:
Zymo

Zymo Research, a privately owned biotech company founded in 1994, is a global leader in molecular tools for life sciences. Driven by the principle "The Beauty of Science is to Make Things Simple," Zymo is dedicated to developing innovative solutions that address complex scientific challenges.

 Session Abstract – PMWC 2025 Silicon Valley

Showcase Track S1 - February 5 9.00 A.M.-3.45 P.M.,Showcase Track S1 - February 6 9.45 A.M.-4.00 P.M.,Showcase Track S1 - February 7 11.15 A.M.-2.00 P.M.


The PMWC 2025 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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