Anyone involved with research in healthcare and life science knows that the funding model often has unintended consequences. In academia as well as in industry, a researcher or principal investigator (PI) writes a grant proposal describing a project and explaining why they need money for it. If the grant is approved, the PI receives funding to use as they see fit. If the research program involves data science it will need IT infrastructure, typically a combination of the following elements:
Esteban joined NetApp to build a Healthcare AI practice leveraging our full portfolio to help create ML-based solutions that improve patient care, and reduce provider burnout. Esteban has been in the Healthcare IT industry for 15 years, having gone from a being storage geek at various startups to spending 12 years as a healthcare-storage geek at FUJIFILM Medical Systems. He's a visible participant in the AI-in-Healthcare conversation, speaking and writing at length on the subject. He is particularly interested in the translation of Machine Learning research into clinical practice, and the integration of AI tools into existing workflows. He is a competitive powerlifter in the USAPL federation so he will try to sneak early-morning training in wherever he's traveling.
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