Ph.D., Scientific Director, Computational Biology and Toxicology, Janssen Pharmaceuticals of Johnson and Johnson
Biography
Dr. Yao is a Scientific Director in Computational Biology and Toxicology at the Janssen Pharmaceutical Companies of Johnson & Johnson. He received a M.S. degree in Computer Engineering and a Ph.D. degree in Molecular Biology from the University of Southern California. He worked in Bioinformatics, R&D IT, Data Sciences, Discovery Sciences and NonClinical Safety organizations. His work spans a wide range of informatics and analytics solutions supporting drug discovery and preclinical development in Neuroscience, Oncology, Immunology, Cardiovascular & Metabolism and Regenerative Medicine therapeutic areas. He led efforts on building global infrastructure for NGS and Omics data management and computing, integrating internal and external data, and applying meta-analysis for such as target and biomarker identification and safety profiling. He also directly works with scientists in Janssen La Jolla and other sites on data analysis in various research projects. He’s current leading the efforts of building Computational Toxicology capabilities and resources for target and compound liability assessments across drug discovery and nonclinical development stages.
Session Abstract – PMWC 2020 Silicon Valley
Track 7 - January 22 9.00 A.M.-3.45 P.M.,Track 6 - January 23 11.15 A.M.-11.30 A.M.,Track 2 - January 24 11.15 A.M.-4.00 P.M.
The PMWC 2020 AI Company Showcase will provide a 15-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.
