Lisa Wang
Staff Research Engineer Tech Lead Manager at Google DeepMind
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolLisa Wang is a Staff Research Engineer and tech lead manager at DeepMind with 11 years of experience building and scaling ML systems that turn data into actionable insights. Her career spans research and production roles across Google Research, Google AI, Orbital Insight and Stanford, with deep expertise in efficient ML (model compression and quantization), large-scale computer vision, and educational AI. She has published research on deep knowledge tracing, taught multiple Stanford courses, and contributed to high-profile open-source projects such as google-research (including TensorFlow quantization and TFEvent parsing). Comfortable bridging academic research and product engineering, she combines leadership of cross-functional teams with hands-on code contributions to speed and efficiency improvements. Outside work she blends technical curiosity with creative pursuits like photography and cycling, reflecting a pragmatic but inquisitive approach to building useful technologies.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
English, German, Chinese, French
Github Skills (7)
machine-learning10
tensorflow10
python10
ai9
quants9
quantization9
data-analysis8
Programming languages (2)
Github contributions (5)
google-research/google-research
Aug 2020 - May 2021
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:12 commits in 8 months
Contributions summary:Lisa primarily contributed to the `google-research/google-research` repository, which focuses on research in AI and machine learning. The user upgraded targets from py2 to py3 in the `cnn_quantization/tf_cnn_benchmarks` directory. They also added util functions to parse TFEvent files within the `aqt` directory, demonstrating an understanding of the training process, possibly model evaluation. The code changes suggest work on quantization and model performance analysis within the context of TensorFlow.
googlemachine-learningai
lisa-1010/dkt
Oct 2016 - Oct 2019
Contributions:19 pushes, 1 branch in 3 years 1 month
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