Speaker Profile

Ph.D., Senior Scientist, Predictive Oncology

Molecular, Cell and Computational Biologist. Founder and executive manager of both private and public traded life sciences companies, presently focused on translation of latest machine learning and genomics technology platforms towards development of next generations personalized oncology and precision drug development. Author of two textbooks in Human Genomics, dozens of peer-reviewed publications, and developer of dozens of statistical genetics, LIMS and machine learning life sciences software applications including most recently, a suite of machine learning programs for application of single cell next generation sequencing for precision drug development and per-patient chemosensitivity testing. Original prior work identified the major genetic determinants of the dominant anthropometric traits as well as global patterns of deep biogeographical ancestry admixture, and in early 2000s trailblazed today’s forensic phenotyping and genetic genealogy marketplaces with the introduction of the world’s first consumer genomics products.

AI & Data Science Showcase:
Predictive Oncology

At Predictive Oncology, we believe that we are at the threshold of a new frontier in cancer research and drug therapies. And the key to the looming discoveries is Artificial Intelligence.

ML for Personalized Chemosensitivity and Precision Pharma
Since the early 2000’s Predictive Oncology’s ChemoFX assay has been doubling ovarian cancer patient survival through personalized chemosensitivity testing. We are applying new cell culture advances, genomics platform technologies and machine learning tools to elevate this assay for precision drug development.

 Session Abstract – PMWC 2022 Silicon Valley

The PMWC 2022 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.