Witness the transformative potential of AI in revolutionizing healthcare. Learn how AI is accelerating the identification of novel therapeutic targets, optimizing drug candidate selection, and improving patient outcomes. The panelists will also discuss the challenges and opportunities in integrating AI into healthcare systems and drug discovery and ensuring its safe and ethical use.
Don’t miss this opportunity to learn about the future of AI-driven healthcare innovation.
Bharath received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics.
He received his PhD in computer science from Stanford University where he studied the application of deep learning to problems in drug discovery. At Stanford, Bharath created the deepchem.io open-source project to grow the deep drug discovery community, co-created the moleculenet.ai benchmark suite to facilitate development of molecular algorithms, and more. Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.
Bharath founded Deep Forest Sciences to accelerate the discovery and design of small molecules and materials using AI. He is also the lead author of “TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”. Bharath is currently working on a forthcoming book about DeepChem.