Accelerating drug discovery with machine learning and AI

Deep learning is revolutionizing many areas of science and technology, particularly in natural language processing, speech recognition and computer vision.

In this talk, we will provide an overview into the latest developments of machine learning and AI methods and application to the problem of drug discovery and development at Isayev’s Lab at CMU. We identify several areas where existing methods have the potential to accelerate pharmaceutical research and disrupt more traditional approaches.

Olexandr Isayev is an assistant professor at the Department of Chemistry at Carnegie Mellon University. In 2008, Olexandr received his PhD in computational chemistry. He was postdoctoral research fellow at the Case Western Reserve University and a scientist at the government research lab. During 2016–2019 he was a faculty at UNC Eshelman School of Pharmacy, the University of North Carolina at Chapel Hill. Olexandr received the “Emerging Technology Award” from the American Chemical Society (ACS) and the GPU computing award from NVIDIA. The research in his lab focuses on connecting artificial intelligence with chemical sciences.

Speaker relationship with IOP Publishing

Editorial board member for Machine Learning: Science and Technology.

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