Alex Ratner is a 5th year Ph.D. candidate advised by Christopher Ré in the Computer Science department at Stanford, where he is supported by a Stanford Bio-X fellowship. His research focuses on applying data management and statistical learning techniques to emerging machine learning workflows, such as creating and managing training data, and applying this to real-world problems in medicine, knowledge base construction, and more. He leads the Snorkel project (snorkel.stanford.edu), which has been deployed at large technology companies, academic labs, and government agencies, and his work has been recognized in VLDB 2018 (“Best Of”).
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