Bharath Ramsundar is cofounder and CTO at Computable, where he is focused on designing the decentralized protocols that will unlock data and AI to create the next stage of the internet. Bharath created the DeepChem open source project to grow the deep drug discovery open source community and cocreated the MoleculeNet benchmark suite to facilitate development of molecular algorithms. Bharath is the lead author of TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, a developer’s introduction to modern machine learning, from O’Reilly Media. He holds a BA and BS in EECS and mathematics from UC Berkeley, where he was valedictorian of his graduating class in mathematics, and a PhD in computer science from Stanford University, where he studied the application of deep learning to problems in drug discovery. Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.
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