Jin Xu
Director, Machine Learning at Adobe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJin Xu is a Director of Machine Learning at Adobe with nine years of industry data science experience and a strong academic foundation as a Ph.D. candidate in statistics. He blends five years of astro-statistical research with Harvard astronomers—publishing tools that account for calibration uncertainty—with six years building data-driven solutions for marketing, sales ops, and business teams at Adobe. Jin specializes in deep generative models, meta-learning, and representation learning, and moves research into production to solve high-impact business problems. Known for shipping open-source R and Python packages during his research, he brings a rare mix of rigorous Bayesian/statistical thinking and product-oriented ML leadership in the Bay Area.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.S.) Finance General, Bachelor of Science (B.S.) Finance General at Tsinghua UniversityUniversity of California, Irvine
English, Chinese
Github Skills (9)
mixture7
python3
tensorflow2
meta-learning2
nps1
notebook1
image-generation1
image-restoration1
deep-learning1
Programming languages (1)
Github contributions (5)
jinxu06/PixelVAE-tensorflow
Mar 2018 - Jul 2018
Contributions:1754 commits, 1837 pushes, 1 branch in 4 months
jinxu06/binary-pixelcnn
Jul 2018 - Jul 2018
Contributions:401 pushes, 1 branch in 22 days
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