Yuyang Wang
Machine Learning Researcher at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolYuyang Wang is a machine learning researcher with eight years of experience, currently driving generative model research at Apple Machine Learning Research in Cupertino. He holds a PhD in Mechanical Engineering and MS degrees in Mechanical Engineering and Machine Learning from Carnegie Mellon, blending rigorous physical-science intuition with modern ML methods. At Apple he focuses on generative AI—translating theoretical advances into practical research that can inform product-facing systems. His background uniquely spans mechanics and probabilistic modeling, enabling a principled approach to model design and evaluation. Based in Silicon Valley, he combines academic depth from CMU with hands-on industry research at one of the largest tech labs.
8 years of coding experience
Bachelor of Engineering - BE, Engineering Mechanics, Bachelor of Engineering - BE, Engineering Mechanics at Tongji UniversityMaster of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Machine Learning Department at CMUDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Carnegie Mellon University
English, Chinese
Github Skills (16)
molecule10
pytorch-geometric10
self-supervised-learning10
pytorch8
deep-learning7
decoder5
beam-search5
actor-critic3
machine-learning3
chainer3
ctc3
control-flow3
feature-extraction3
mujoco2
reinforcement-learning2
Programming languages (3)
Github contributions (5)
ulissigroup/catgym
Aug 2019 - Apr 2021
Contributions:12 commits in 1 year 7 months
yuyangw/MolCLR
Dec 2021 - Jul 2022
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
Contributions:10 commits, 8 pushes, 22 comments in 7 months
deep-learninggraph-neural-networksmoleculepytorchpytorch-geometric
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