Grace Lam
Member Of Technical Staff at Character.AI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGrace Lam is a machine learning engineer and researcher with a decade of experience building AI-driven systems across industry and academia, currently contributing ML research at Character.AI. Her background spans work at Palantir and NVIDIA, applied research with Berkeley AI Research and DeepMind collaborations, and computational biology research at Stanford and the Gopnik Lab, blending rigorous experimentation with production-focused engineering. She has applied ML in high-stakes government and finance contexts as well as in open-source computational biology for COVID immune repertoire analysis, demonstrating both domain versatility and reproducible research practices. A UC Berkeley computer science and Haas-educated technologist based in the Bay Area, she pairs technical depth in reinforcement learning and ML systems with a human-centered design perspective from IDEO CoLab. Colleagues find her equally at home prototyping research ideas and shipping reliable models into production.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, BerkeleyPalo Alto High SchoolBusiness administration, Business administration at University of California, Berkeley, Haas School of Business
English, French, Chinese, Korean
Github Skills (12)
single-cell-analysis9
r-package9
bioinformatics9
immunology9
robot8
ros7
jetson7
robotics7
machine-learning4
computer-vision4
deep-learning3
reinforcement-learning3
Programming languages (3)
Github contributions (5)
NVIDIA-AI-IOT/turtlebot3
Jul 2017 - May 2018
Contributions:16 commits, 13 pushes, 1 branch in 9 months
roboticsautonomousjetsonjetson-tx2robot
graceyraspberry/tecanplatereader
Jun 2017 - Feb 2018
Contributions:13 pushes, 1 branch in 8 months
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