Speaker Profile

Advisory Managing Director, KPMG US

Joe is a leader in KPMGs Precision Medicine practice. He has 14 years of experience in the Life Sciences industry across both strategy consulting and directly scaling pharma-enabling technology organizations. Joe’s consulting experience ranges across deal evaluation and diligence, product and pipeline prioritization, and launch strategy for biopharma, life sciences tools and software, CROsCDMOs, and private investors. Within industry, Joe has held Commercial leadership roles at TrialSpark and Tempus, where he developed and expanded strategic partnerships with pharma and biotech organizations across RD, Commercial, and Med Affairs organizations. Joe has worked across multiple therapeutic areas, including oncology (drugs, diagnostics, services), neuroscience (psychiatry, neurocognition, neuroinflammation, imaging), immunology, ophthalmology, cardiovascular metabolic, as well as rare diseases.

Precision Medicine: AI's Transformative Impact
Join us as we explore AI's transformative influence on Precision Medicine. From patient risk assessments to tailored treatments, we'll highlight generative AI's role and address emerging challenges like data privacy and ethics. Concluding, we'll guide through potential solutions, emphasizing the pivotal role of federated learning and other innovative processes.

AI and Data Sciences Showcase:

KPMG’s Precision Medicine practice is part of KPMG Healthcare and Life Sciences, supporting the development and execution of strategies across the HCLS continuum. Our practice is a leader across therapeutic areas and global markets, fueled by experience across the value chain.

 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S1 - January 24 9.00 A.M.-4.45 P.M.,Showcase Track S1 - January 25 9.45 A.M.-4.00 P.M.,Showcase Track S1 - January 26 11.00 A.M.-3.45 P.M.

The PMWC 2024 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.


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