Product, and commercial executive with med tech and health data platform expertise. MBA specializing in healthcare and technology.

Enterprise sales leadership and revenue operations excellence. Helping companies optimize revenue through digital transformation and the transition to AI adoption.

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25 years of experience in leading and building technology ventures. Jeff's passion is harnessing the power of AI, biotechnology, and data science to solve the most pressing challenges facing healthcare and humanity​.

Identifying, establishing, and strengthening partnerships to activate platforms, ultimately supporting business outcomes. Commercial Discovery and Partnership Development at Blue Pelican Health.

Dr. Lungren is a physician, adjunct Stanford professor in machine learning and a clinical associate professor at UCSF. Advises Start-up to S500 HLS enterprises on healthcare AI technology development and GTM strategy.

A strategic advisor and board member specializing in data, AI, and technology, particularly in life sciences and healthcare. With extensive experience as an executive across various industries, he excels in developing and scaling critical data and AI strategies. Dave has also advised in investment banking, and public policy.

A software and product leader with deep AI/ML expertise, driving health innovations and strategic partnerships at scale. Proven success in 0-to-1 launches of cutting-edge AI products, across major technology, life science, provider, & payer systems. Former health data scientist and researcher.

16 years of diverse experience spanning commercial roles in medtech, management consulting, and scientific research. Leveraging a unique blend of technical expertise in medical imaging/AI and commercial acumen to drive growth and forge strategic partnerships. Skilled at translating innovative technologies into tangible business outcomes in the evolving landscape of healthcare and life sciences.

Dr. Dhande is an interventional cardiac electrophysiologist at University of Pittsburgh Medical Center, with a master’s degree in clinical informatics and management from Stanford University. She is a physician scientist leading international studies to test patient facing applications of AI, in collaboration with Heart Rhythm Society. As an advisor and consultant to healthcare start-ups, she combines her domain knowledge of cardiology, EP and AI governance with that of health system strategies, operations and investments.

Experienced product leader specialized in developing scalable AI-driven analytics solutions for the healthcare and life sciences industry. Expertise in medical imaging, data interoperability, and cloud computing. Skilled at driving growth, forging strategic partnerships, and delivering innovative solutions that transform data into actionable insights. Driven to help organizations optimize the way they leverage data to improve patient outcomes and drive business success.

Chris Katz is an experienced product strategy and service delivery leader in healthcare, with a track record of leading product management teams from conception to launch. Passionate about transforming patient, provider, and member experiences, he served as VP of Consumer Product Management and Digital Transformation at UPMC, driving product strategy and digital innovation. Prior to UPMC, Chris worked in corporate strategy at The Advisory Board Company and in management consulting for life sciences and technology strategy firms.

Highly organized and results-driven executive administrative professional with extensive experience in providing top-tier support to senior executives. Proven track record in managing complex schedules, coordinating high-impact projects, and ensuring seamless office operations. Expertise in process improvement, problem-solving, and effective communication. Committed to meeting all business needs while fostering team growth and success.

Practicing Stanford radiologist and business leader with experience leading successful teams across academic, clinical, and corporate domains.  Focused on developing effective GTM strategies for AI to improve outcomes for healthcare systems nationwide.