Arnaub Chatterjee, a Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company, discusses cutting through the hype about artificial intelligence (AI) and machine learning (ML) in healthcare.
Arnaub is a Senior Expert/Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company. Additionally, he serves as Teaching Associate in the Department of Health Care Policy at Harvard Medical School and Lecturer in the Department of Policy Analysis and Management at Cornell University. At McKinsey, he advises pharmaceutical and biotech companies on a range of topics, including digital transformation, utilizing novel data and analytics for product positioning and preparing for launch. He also works with leading technology companies and startups who are entering the healthcare sector on a range of market strategy and entry issues.
Prior to McKinsey, he served as Director within Merck's Data Science and Insights group where he led ventures and partnerships with academic medical centers, payers and technology companies to power R&D and commercial activities. He previously served in the Obama Administration as an advisor to former Chief Technology Officers Todd Park and Bryan Sivak at the U.S. Department of Health and Human Services (HHS). At HHS, he co-led efforts for the Health Data Initiative, designed the www.healthdata.gov platform, and launched the Innovation Fellows Program. At HHS, he also worked in the Secretary's Office as a lead policy analyst on healthcare fraud and abuse policy initiatives around the Affordable Care Act. Prior to government service, he spent a number of years as a strategy consultant at Deloitte Consulting, supporting pharmaceutical companies on M&A strategy.
He holds graduate degrees in health administration (MHA) and public administration (MPA) from Cornell University and received his undergraduate degree from the University of Michigan.
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Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.