Daniel Rothchild is a Senior Machine Learning Scientist in Biophysics at Genentech, where they focus on the development of innovative tools for drug discovery. They hold a PhD in Computer Science from the University of California, Berkeley, and prior degrees in Physics (BA) from Harvard University and Astronomy (MPhil) from the University of Cambridge. As a Graduate Student Researcher, Daniel was awarded the NSF Graduate Student Research Fellowship and specialized in distributed learning algorithms and materials design. Their research background includes significant contributions to scheduling algorithms for astronomical observations and machine learning methods applied to bioinformatics.
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