Atomwise
Jordi Silvestre-Ryan is a scientist currently working at Atomwise, where they are developing and validating deep learning models to accelerate drug discovery. Prior to this role, they conducted research as a graduate student at UC Berkeley and UCSF, focusing on machine learning methods for sequencing data and exploring gene regulatory networks. As a research assistant at IRB Barcelona, they validated a Monte Carlo approach for fitting protein structures to data from biophysical experiments. Their educational background includes a PhD in Bioengineering from UC Berkeley, an MS in Biophysics from UCSF, and a BS in Bioengineering from UC Berkeley.
Atomwise
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Atomwise patented the first deep learning technology for structure-based small molecule drug discovery. This AI technology harnesses millions of data points and thousands of protein structures to solve problems that a human chemist would take many lifetimes to solve. They've partnered with some of the world’s largest pharmaceutical and agrochemical companies, and with more than 50 leading academic institutions and hospitals, to tackle the challenges of discovering and developing better drugs and chemicals.