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I am a researcher at Google Brain working on training models that go beyond test-set accuracy to fulfill multiple desired criteria -- interpretable, compact, fair and robust.
Before Brain, I founded a local Bay Area non-profit called Delta Analytics that works with non-profits and communities all over the world to build technical capacity and empower others to use data. All our initiatives are run without any full time staff. I taught myself machine learning and hope to help others do the same. This website allows me to share some of my current research and resources from talks and suggests ways to get involved if you want to help build technical capacity around the world. I grew up in Southern Africa, in South Africa, Mozambique, Swaziland, Lesotho and Kenya. My family now lives in Monrovia, Liberia. Learn more about my journey -- Slow Learning. Listen to underrated ml -- a podcast where Sean Hooker and I discuss ideas in machines learning are underrated. Other writing: The Hardware Lottery Why data for good lacks precision. Research Papers |
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