Paroma Varma is a cofounder at Snorkel and completed a PhD at Stanford, advised by Professor Christopher Ré and affiliated with the DAWN, SAIL, and StatML groups, where she was supported by the Stanford Graduate Fellowship and the National Science Foundation Graduate Research Fellowship. Her research interests revolve around weak supervision or using high-level knowledge in the form of noisy labeling sources to efficiently label massive datasets required to train machine learning models.
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