CV
I am currently a postdoc fellow in the Oden Institutue for Computational Engineering and Sciences @ Univeristy of Texas, Austin. If you are interested, feel free to check a longer version of my CV . or CV in Chinese .
Education
- B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China, Hefei, China, 2011.
- Ph.D in Applied Mathematics, University of Wyoming, Laramie, Wyoming, USA, 2016.
Work experience
- Sep 2017 - Jul 2019: Postdoc Fellow
- University of Texas at Austin
- Database development, data mining, machine/deep learning, uncertainty quantification for magnetically confined fusion.
- Sep 2017 - Jul 2019: Postdoc Fellow
- University of Ottawa
- Duties includes: Developing new models with machine learning/deep learning tools for medical image registration and other computer vision tasks. Check our group website for more details.
- Aug 2016 - May 2017: Visiting Assistant Professor
- Southern Utah University
- Duties includes: Teaching Mathematics and conduct interdisciplinary researches
Programming Skills
- Most experienced: Matlab, Python (Keras/Tensorflow, scikit-learn)
- Less experienced: C++, C, R, Mathematica.
- Least experience: Sql, Shell
Publications
Talks
A Bayesian method on landmark momentum data for abnormality detection
Conference proceedings talk at Rocky Mountain Mathematics Consortium, 2016, Laramie, WY
2B or not 2B
Talk at Chatham University, Pittsburgh, Pennsylvania, USA
Medical image registration with neural networks
Workshop at University of Ottawa, Ottawa, Ontario, Canada
Spectra Matching
Talk at NRC, 1920 Research Private, Ottawa, Ontario, Canada
Covnets_in_image_registration
Talk at Banff, Banff, Alberta, Canada