Yujie Wang
LTD Module Development Engineer at Intel Corporation
City of Ithaca, New York, United States
Summary
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Senior🎓
Top SchoolYujie Wang is a PhD candidate in Mechanical Engineering at Cornell and a LTD Module Development Engineer at Intel, bringing nine years of hands-on experience in thermal-fluid sciences and combustion research. Their work focuses on droplet combustion under microgravity and experimental design, combining high-speed imaging, micro-PIV, and advanced data analysis to extract physical insight from complex experiments. Trained at Tsinghua and Cornell, Yujie has developed theoretical models and MATLAB toolchains for evaporation and dissolution problems and has applied CFD tools like Fluent to safety-critical hydrogen leakage studies. Equally curious about sensing and motion, they engage with visual SLAM ideas—reflecting a systems view that links perception and dynamics—making them adept at bridging experimental physics with practical engineering implementation.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, 3.96, Doctor of Philosophy - PhD, Mechanical Engineering, 3.96 at Cornell UniversityBachelor of Engineering - BE, Energy and Power Engineering, Bachelor of Engineering - BE, Energy and Power Engineering at Tsinghua University
Github Skills (91)
python10
gpu10
computer-graphics10
3d10
arm10
cpp10
slam-algorithms10
cudnn10
mesh-processing10
rendering10
cluster-computing10
data-processing10
orb10
opengl10
volume-rendering10
Programming languages (6)
Github contributions (5)
billamiable/cplusplus-learn
Sep 2020 - Mar 2022
Contributions:69 commits, 18 pushes in 1 year 6 months
billamiable/Reinforcement_Learning_Assignment
Sep 2018 - Dec 2018
Implementation of Reinforcement Learning in Fall 2018
Contributions:79 commits, 72 pushes, 1 branch in 3 months
reinforcement-learningfallreinforcementdeep-reinforcement-learning
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