Alex Liu is a health technology and analytics leader specializing in the application of AI, advanced analytics, and scalable data platforms to life sciences and healthcare. He currently serves as Director of Product Management at Oracle, where he is helping lead development of the Life Sciences AI Data Platform, enabling large-scale integration, analysis, machine learning, and agentic development across real-world and life science enterprise data.
Previously, Alex held senior product leadership roles at Amazon Health, where he led pharmacy and care delivery platforms spanning operations, analytics, and patient- and provider-facing systems. His career also includes experience at Alphabet’s Verily Life Sciences and early-stage startups, giving him a combination of enterprise platform execution, healthcare domain depth, and technical fluency.
Alex brings deep expertise in healthcare and life sciences, real-world evidence analytics, AI/ML system design, and platform product strategy, with a consistent focus on translating sophisticated analytical methods into production systems used in regulated environments. He has led cross-functional teams across engineering, data science, clinical, and regulatory stakeholders to deliver analytically rigorous and operationally scalable solutions.
He holds a B.S. in Biochemistry from Yale University, graduating with honors, a Certificate in Machine Learning from Stanford University, and is a graduate of Fullstack Academy, where he completed training in software engineering. Together, these experiences ground his product leadership in biological science, machine learning, and hands-on systems development.
Alex is also a published author in peer-reviewed scientific journals. His research includes:
• Medical Care: Co-author of a study developing and validating an administrative claims-based measure of healthcare payments for acute myocardial infarction episodes of care, contributing to methodological rigor in health services research and payer analytics.
• Nucleic Acids Research: Co-author of a mechanistic study demonstrating that LKB1 (STK11) preserves genome integrity by promoting homology-directed DNA repair through post-transcriptional regulation of BRCA1, revealing a novel tumor suppressor pathway with direct implications for cancer susceptibility and therapeutic strategy.
As Chair of the “AI-Driven Analytics†track at SCOPE, Alex brings a practitioner’s perspective on how modern AI, real-world data, and analytics platforms can be responsibly operationalized to advance clinical development, safety, and evidence generation in life science organizations.