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.
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