Ph.D., Assistant Professor, College of Medicine, Ohio State University
Biography
Dr. Cheng’s computational methods expertise, including nonlinear neuro network methods and machine learning for big data mining. Her current research interest is to develop system pharmacology models to predict drug response for either single drug or drug combinations in both in vitro and clinical settings in precision medicine. She is author or co-author of more than 50 publications and abstracts with a focus on Translational Medicine approaches to bridge the basic science and clinical development. She received her Ph.D. degree from Donghua University, China in Artificial Intelligence Pattern Recognition Fields, her M.S. degree in Computer Science and B.A. degree in mathematics theory.
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.
