Lemeng Wu
Senior Research Scientist at The University of Texas at Austin
Menlo Park, California, United States
Summary
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Rockstar🎓
Top SchoolLemeng Wu is a Senior Research Scientist based in Menlo Park with a decade of experience specializing in on-device foundation models and applied machine learning. Currently at Meta after progressing from research roles and internships at Microsoft, ByteDance, and Meta, Lemeng blends deep academic training (PhD candidate at UT Austin) with hands-on industry research. Their work focuses on making large-scale models practical for edge devices, bridging the gap between cutting-edge model research and deployment constraints. A long-running researcher since Tsinghua and UT Austin, Lemeng brings both foundational theory and systems-level pragmatism to product-facing AI problems. Colleagues describe them as equally comfortable designing experiments and shipping optimized model stacks for constrained hardware. Their career arc reflects a steady shift from academic research assistantships to leading applied research in one of the world’s largest AI labs.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
Github Skills (10)
kitti6
3d-object-detection6
point-cloud5
computational-biology5
mobile5
molecule4
diffusion-models3
autonomous-driving3
neural-network2
computational-chemistry2
Programming languages (2)
Github contributions (5)
klightz/splitting
Oct 2019 - May 2021
Offical Repo for Splitting Steepest Descent for Growing Neural Architectures
Contributions:15 commits, 14 pushes, 1 branch in 1 year 6 months
klightz/PSF
Jul 2023 - Jan 2024
Official Implementation for Fast Point Cloud Generation with Straight Flows
Contributions:11 pushes, 1 branch, 12 comments in 6 months
point-cloud
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