Stanford University March 30 announced the winners of the 2020 university awards, among them its Indian American alumnus Aditya Grover.
The awards handed out by Stanford honor faculty, students and staff for exceptional service, for distinctive contributions to undergraduate education and for excellence in teaching, the university said in a news release.
The process of selecting the winners of the Kenneth M. Cuthbertson Awards, the Lloyd W. Dinkelspiel Awards and the Walter J. Gores Awards for the 2019-20 academic year was delayed by the pandemic, it said.
Grover, who earned a masterâs degree and a doctorate in computer science in Stanfordâs School of Engineering in 2020, and is now on the UCLA faculty, was honored âfor his immense contributions to the creation of âCS 236: Deep Generative Models,â including syllabus and course material design, and teaching alongside Professor Stefano Ermon.â
Credits: Image: MIT News, and circular structure courtesy of the researchers
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Drugs can only work if they stick to their target proteins in the body. Assessing that stickiness is a key hurdle in the drug discovery and screening process. New research combining chemistry and machine learning could lower that hurdle.
The new technique, dubbed DeepBAR, quickly calculates the binding affinities between drug candidates and their targets. The approach yields precise calculations in a fraction of the time compared to previous state-of-the-art methods. The researchers say DeepBAR could one day quicken the pace of drug discovery and protein engineering.