Yutong He
Research Assistant at Stanford University
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolYutong He is a research-focused machine learning engineer and PhD student with nine years of experience exploring generative models, adversarial learning, and broader deep learning topics. Based at Stanford and formerly at the University of Rochester, Yutong has blended academic rigor with industry practice through roles such as an Adobe ML engineering internship and sustained research assistantships. Their technical breadth spans information theory, computer vision, transformer architectures, and multimedia mining, with a clear research trajectory toward advanced generative modeling. Comfortable moving between theory and applied systems, Yutong brings a mathematician’s precision (dual BS in Mathematics and Data Science) to practical ML problems and a demonstrated ability to collaborate across academia and industry in the Bay Area.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of RochesterMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Spanish, Japanese, Chinese, English
Github Skills (28)
image-synthesis10
stochastic10
image-manipulation10
editing10
pytorch9
synthesis9
imu9
inpainting9
calibration9
image-editing9
stochastic-differential-equations9
differential-equations9
image-generation8
optical-flow8
camera8
Programming languages (4)
Github contributions (5)
a7b23/H-Divergence
Nov 2020 - May 2022
Contributions:27 commits, 16 pushes, 2 comments in 1 year 6 months
KellyYutongHe/satellite-pixel-synthesis-pytorch
Oct 2021 - Jun 2022
Contributions:35 commits, 20 pushes, 3 comments in 8 months
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