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Angeli Moeller is a molecular biologist, a neuroscientist, a systems biologist, and a data scientist all rolled into one—which makes her a perfect example of the kind of multidisciplinary executive needed for this new digital health ecosystem defined by big data, AI, and machine learning. She's a founding member of the Alliance for Artificial Intelligence in Healthcare, does extensive work for the nonprofit rare disease advocacy group Rare-X, and has spent almost five years managing global data assets and IT partnerships at Bayer. At the beginning of 2021 she became the head of international pharma informatics for Roche, the world’s largest drug company. Harry caught up with her on Zoom in February, and the conversation started with the role of informatics at Roche, but quickly expanded to cover all the areas where deep learning and other forms of AI and data science are transforming drug discovery and healthcare, and what life sciences entrepreneurs need to do to get on board.

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Transcript

Harry Glorikian: Angeli Moeller is one of those people who seems like a born leader for the emerging field of data-driven healthcare and drug discovery. She’s a molecular biologist, a neuroscientist, a systems biologist, and a data scientist all rolled into one. 

Which makes her a perfect example of the kind of multidisciplinary executive I’ve been saying for years that we’re going to need in this new digital health ecosystem defined by big data, AI, and machine learning.

She’s a founding member of the Alliance for Artificial Intelligence in Healthcare. She does extensive work for the nonprofit rare disease advocacy group Rare-X. She spent almost five years managing global data assets and IT partnerships at Bayer. And at the beginning of this year she became the head of international pharma informatics for Roche, the world’s largest drug company.

Angeli and I seem to be on exactly the same wavelength about how Roche and other life sciences companies should be taking advantage of the huge leaps in computing power now available to them. And every time we see each other we end up geeking out about the enormous potential of today’s advances in artificial intelligence and machine learning to unlock revolutionary new treatments and even a new standard of care in our medical systems.

Our last conversation happened back in February, and this time you get a chance to listen in.

Harry Glor