Scholar
Anran Xu
Google Scholar ID: UYnzYewAAAAJ
Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia
Citations & Impact
Citations
6
H-index
1
i10-index
0
Publications
3
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Explored the application of Convolutional Neural Networks as a form of implicit regularization in geophysical inversions, particularly in DC resistivity inversions, showing promising results.
Research Experience
- Worked under the supervision of Prof. Qinya Liu at UofT on earthquake-related projects; worked with Dr. Keir Rogers at UofT on cosmology; collaborated with Luca Calatroni and Laure Blanc-Féraud at CNRS on fluorescence microscope projects. Currently researching the use of convolutional neural networks for implicit regularization in DC resistivity inversions.
Education
- Graduate Student in the Master of Science in Geophysics program at the University of British Columbia; obtained an Honours Bachelor of Science degree (Mathematics & Its Applications Specialist (Physical Science); Physics Major) from the University of Toronto. Supervised by Prof. Qinya Liu, Dr. Keir Rogers, and Luca Calatroni and Laure Blanc-Féraud at CNRS.
Background
- Research interests include AI for physics and applications of machine learning models to inverse problems. In her Master's thesis, she focuses on leveraging test time learning ML methods to geophysical inverse problems. She is also broadly interested in inverse problems in other subfields of physics such as earthquakes, cosmology, and fluorescence microscopy.
