Michelle Lee
CEO at Medra
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMichelle Lee is a PhD candidate in the Stanford AI Lab and CEO of Medra, blending nine years of industry and research experience across robotics, perception, and machine learning. She co-founded Pebbo, advises startups, and has practical engineering experience from internships at SpaceX and NVIDIA plus a summer at McKinsey, giving her both technical depth and product/business fluency. Her Stanford research led to multiple best paper awards (ICRA 2019, NeurIPS Robot Learning Workshop 2019) for work on integrating vision and touch and uncertainty-aware policy optimization. Based in the Bay Area, she brings an uncommon mix of academic rigor, startup founding instincts, and leadership as a CEO guiding applied robotics initiatives toward real-world impact.
9 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Chemical Engineering, Bachelor's Degree, Chemical Engineering at Stanford University
Spanish, Chinese, English
Github Skills (47)
gazebo-simulator10
hugo10
gazebosim9
reinforcement-learning9
benchmark9
robotics9
simulation9
webots9
robot-simulator9
robot9
mujoco9
jekyll9
autonomous-robots9
pybullet9
robotics-simulation9
Programming languages (4)
Github contributions (5)
stanford-iprl-lab/multimodal_representation
May 2020 - Jun 2021
Contributions:7 commits, 4 pushes, 3 comments in 1 year 1 month
brentyi/crossmodal_filtering1
Mar 2020 - Jul 2020
Contributions:44 pushes in 3 months
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