GradientAI
WindRose believes that healthcare companies which move quickly to incorporate AI in their solutions will have significant competitive advantages and enhanced opportunities for growth. However, even the most innovative companies frequently lack internal AI development capabilities.
To support our portfolio companies in this critical journey and to help them identify, prioritize, and implement actionable technology and AI projects, we have established GradientAI, an in-house technology services team. GradientAI is at work throughout the WindRose portfolio, delivering transformative change in our fast-moving companies.
The GradientAI
Team
The Gradient team consists of subject-matter experts and practitioners in AI, operations research, data science, cloud computing, information security, data engineering, technical program management, and related disciplines. WindRose Gradient is managed and led by WindRose Operating Partner, Adam Berger.
Adam is an Operating Partner at WindRose Health Investors and the Head of GradientAI. Prior to WindRose, he led technology at Amazon for a healthcare delivery service, Amazon Care, that served patients in all 50 states. Before that, Adam was CTO at UPMC Enterprises. Earlier in his career, Adam founded two venture-backed startups, Eizel and Penthera, where he served as CTO. As a computer scientist, Adam has presented at international conferences in machine learning, natural language processing, and information retrieval, and has received 25-year test of time awards from SIGIR and ACL. Adam received his PhD in computer science from Carnegie Mellon University.
Pamela Peele was most recently Chief Analytics Officer and VP Health Economics at UPMC Health Plan, a $15B diversified insurance provider with over 4M members. She was responsible for creating innovative analytics that drove financial and clinical performance including economic modeling, predictive modeling, statistical analysis and machine learning. She holds a PhD in economics from Virginia Tech.
Mike Higgins is a recognized industry leader in risk management, information security, and privacy. He led information security for Amazon Healthcare, NBCUniversal, The New York Times, and LexisNexis.
Dev Das is a statistician and machine learning expert. He was a senior research scientist at Amazon, where he worked on econometric “total cost of care” analysis for Amazon’s healthcare business, and also worked on a surge pay recommendation system for part-time associates. Previously, Dev was a staff scientist at Mayo Clinic. He holds a PhD from the University of Wisconsin, Madison.