Xinyan Li
Research Assistant at Department of Computer Science and Engineering, University of Minnesota
Minneapolis, Minnesota, United States
Summary
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Senior🎓
Top SchoolXinyan Li is a research-focused machine learning engineer and Ph.D. candidate at the University of Minnesota with eight years of experience developing deep learning solutions for climate forecasting and medical imaging. Her recent work designs sequence-to-sequence models that better capture long-term temporal dependencies for sub-seasonal (14–28 day) forecasts, while earlier research analyzed deep ReLU loss surfaces via large-scale Hessian eigenanalysis and produced efficient PyTorch tooling for eigen computations. She also built high-accuracy neural models and specialized feature descriptors for cancer region detection across multiple tissue types, demonstrating strong applied ML and domain adaptation skills. Based in Minneapolis, she blends theoretical interests in transfer learning with practical engineering, often tackling large matrices and long-horizon time series where standard approaches struggle.
8 years of coding experience
4 years of employment as a software developer
University of Minnesota Twin Cities
English, Chinese, Japanese
Github Skills (1)
python2
Programming languages (2)
Github contributions (5)
Williamlalalala/classManage
Feb 2018 - Mar 2018
Contributions:8 commits, 6 pushes, 1 branch in 25 days
TaylorswiftLydia/studentManage
Nov 2018 - May 2019
学生信息管理系统
Contributions:1 PR, 2 pushes, 1 branch in 6 months
vue
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