Weili Nie
AI Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolWeili Nie is an AI research scientist with 11 years of experience, currently working on multimodal generation at Meta's Superintelligence Labs after a multi-year research stint at NVIDIA. With a PhD in Electrical and Computer Engineering from Rice University, she blends deep academic rigor with applied research on large-scale multimodal systems. Her background spans internships and research roles across VMware and NVIDIA, giving her strong hands-on expertise in building and evaluating ML models. Based in Menlo Park, she operates at the intersection of cutting-edge research and product-forward engineering, contributing to projects that push generative capabilities across vision and language. Notably, her career trajectory shows sustained focus on advancing multimodal AI from internship prototypes to production-adjacent research at industry-leading labs.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Computer Engineering, Doctor of Philosophy (PhD), Electrical and Computer Engineering at Rice University
Github Skills (8)
fluid-simulation9
nvidia8
cuda6
pbrt6
physically-based-rendering5
theory1
renderer1
rendering1
Programming languages (2)
Github contributions (5)
Gfans/UnifiedParticleFrameworkCUDA
May 2015 - Aug 2015
A unified particle framework similar to NVIDIA FleX.
Contributions:44 commits, 43 pushes, 1 branch in 3 months
nvidia
Gfans/ISPH_NVIDIA_CUDA_CONTEST
Aug 2014 - May 2015
Fluid Simulation using CUDA (SPH/WCSPH/PCISPH)
Contributions:24 commits, 22 pushes in 9 months
cudafluid-simulation
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