Mandi Zhao
Doctoral Student at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolMandi Zhao is a doctoral student at Stanford with eight years of experience at the intersection of deep learning research and engineering, having held research roles at Berkeley AI Research, Meta, and Weights & Biases. Her background blends a BA in Applied Mathematics & Computer Science and an MS in EECS from UC Berkeley with hands-on work fine-tuning models, building interactive ML demos, and prototyping practitioner-focused tooling. She has experience across reinforcement learning and computer vision workflows and has contributed to improving ML experimentation and visualization practices. Mandi moves fluidly between rigorous academic research and product-minded engineering, bringing insights from industry internships into her PhD work. Based in Palo Alto, she maintains a public presence through her website rather than LinkedIn, highlighting a preference for curated technical output over social inboxes. Colleagues would describe her as a researcher-engineer who optimizes both model performance and developer experience.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Applied Mathematics and Computer Science, Bachelor of Arts - BA, Applied Mathematics and Computer Science at University of California, BerkeleyHigh School Attached to Northwestern Polytechnical University
Chinese, Italian
Github Skills (52)
robotics9
simulation9
puppet8
ai8
hand-tracking8
robustness7
nvidia-isaac7
keras6
generalization6
hardware6
imitation-learning6
animation6
reinforcement-learning6
3d-reconstruction5
computer-graphics5
Programming languages (5)
Github contributions (5)
rll-research/mosaic
Jul 2021 - May 2022
Code for Paper "Towards More Generalizable One-Shot Visual Imitation Learning", ICRA 2022
Contributions:25 commits, 1 push in 9 months
imitation-learning
rll-research/ARM
Jul 2021 - May 2022
Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).
Contributions:2 PRs, 97 pushes, 5 branches in 10 months
coarse-to-finearmfine
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