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Using AI to Make Healthcare Universally Accessible & Affordable w/ Saurabh Johri
In this #DataTalk, we’re talked with Saurabh Johri about using AI to make healthcare universally accessible and affordable.
Prior to Babylon, Saurabh spent five years as a post-doctoral research fellow at the MRC Centre for Outbreak Analysis and Modelling at Imperial College London. Working with the CDC and Gates Foundation, he helped develop new methods and mathematical models for estimating the transmission of poliovirus from genetic sequence data. Prior to this, he completed a PhD in population and statistical genetics at Imperial College London.
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In this #DataTalk, we’re talked with Saurabh Johri about using AI to make healthcare universally accessible and affordable.
Prior to Babylon, Saurabh spent five years as a post-doctoral research fellow at the MRC Centre for Outbreak Analysis and Modelling at Imperial College London. Working with the CDC and Gates Foundation, he helped develop new methods and mathematical models for estimating the transmission of poliovirus from genetic sequence data. Prior to this, he completed a PhD in population and statistical genetics at Imperial College London.