Speaker Profile

Ph.D., CEO & Founder, PrecisionLife

Biography
Steve has over 25 years’ experience building world-class teams, products and companies including as Global Director of Research Informatics for Astra. He has raised venture funding in the UK, EU and USA to develop and market highly innovative and commercially successful products in the life science, healthcare and food industries. He has developed world-leading genomics, digital health, smart IoT and informatics technologies including several patented inventions. He was heavily involved in developing some of the core informatics systems used by major genomics companies during the initial Human Genome project and has worked extensively with major pharma companies on over 25 drug discovery and safety projects. Steve specializes in AI enabled drug discovery and precision medicine, large-scale genomics, semantic data integration and complex data analytics for life science and healthcare. He is interested in all aspects of precision medicine for chronic disease including novel drug targets, biomarkers and genetic risk scores.


AI & Data Science Showcase:
PrecisionLife

PrecisionLife’s unique combinatorial analytics platform generates deep insights into the complex biology of chronic diseases, driving the next wave of precision medicine applications and finding new treatment opportunities for patients’ unmet medical needs.

Chronic Disease Precision Medicine Needs Combinatorial Analytics
PrecisionLife’s unique combinatorial analytics platform generates deeper insights into the complex biology of chronic diseases, driving the next wave of precision medicine. All significant variant combinations are mapped to patient sub-groups, capturing the non-linear effects of the underlying biology.

 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.