Registered user since Sun 17 Sep 2017
Mangpo is a research scientist at Google Brain, where she leads Machine Learning for Machine Learning Compilers effort (one of Google Brain moonshots in 2020). Her research interests include compilers, machine learning for systems, program synthesis, and efficient computing. Mangpo completed her PhD in Computer Science at UC Berkeley. Her dissertation focuses on synthesis-aided compilation and programming models for emerging architectures, ranging from an ultra-low-power processor to a programmable network card.
|MAPS 2021||Machine Learning for Autotuning Production Machine Learning Compilers|
|PLDI 2021||Committee Member in Student Research Competition (SRC) within the SRC-track|
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