Delphine helps medtech, life sciences, healthtech, and technology companies define, accelerate, and operationalize their growth, digital, and AI transformations. She excels in helping clients streamline M&A, foster innovation, and optimize commercial strategies. As a member of the McKinsey Technology Council, Delphine currently leads McKinsey’s generative AI initiatives in Life Sciences and Healthcare.
Some examples of her recent work include:
- playing a pivotal role in the launch of a generative AI healthtech product, including defining go-to-market and pricing strategies and operational plans, that has reached >60% utilization within the first 3 months
- supporting the omnichannel growth transformation at a leading medtech, deploying a first-in-class AI/ML to improve lead generation, automation, and an agile operating model across the commercial team to orchestrate across channels resulting in improved customer engagement and growth
- guiding the development of corporate strategy for a healthcare technology company that identified and operationalized a focused set of product, commercial, and operational initiatives resulting in 3x Enterprise Value in less than 3 years
- helping lead an R&D transformation at a large, capital equipment medtech company focused on accelerating time-to-market for assets in the pipeline and improving lifecycle management
Delphine received her bachelor’s and Master of Engineering in computer science from MIT, and a PhD from Georgia Tech where she developed novel machine learning algorithms to aid medical diagnosis.
Before McKinsey, Delphine worked as a research scientist in the Medical Devices group at Siemens Corporate Research. She was also a research software engineer in the Surgical Planning Lab (SPL) at the Brigham and Women’s Hospital, where she was one of the founding engineers of the open-source software "3D Slicer," a widely used medical visualization application.