Emma W
Senior Staff Software Engineer at Google DeepMind
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolEmma W is a Senior Staff Software Engineer at Google DeepMind with 11 years of experience specialising in serving system design and performance optimization for large multimodal models. She leads the Multimodal Serving team that delivered multi-fold speedups across Genie, Veo, Nano Banana and Gemini-based products, routinely combining compiler, model, and runtime optimizations to improve both latency and throughput. A Harvard PhD in computer architecture, she has a track record of productionizing autotuning and automatic model-partitioning systems that saved fleet TPU resources and set MLPerf records. Emma balances deep research pedigree with hands-on systems engineering and has repeatedly turned academic techniques into deployable, fleet-scale impact. Her open-source work and public homepage reflect a continued focus on speeding up machine learning across hardware and software stacks.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Harvard UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Github Skills (27)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
methodology8
generative7
aladdin7
bayesian-methods6
statistics6
probabilistic5
pytorch5
Programming languages (2)
Github contributions (5)
Emma926/BayesSuite
Mar 2019 - Oct 2019
Contributions:37 commits, 28 pushes, 1 branch in 7 months
Emma926/DL_SynBench
Jan 2018 - Jul 2018
Contributions:200 pushes, 1 branch in 6 months
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