Field of Research (FoR)
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Biography
I am a postdoctoral fellow in School of Mathematics and Statistics in UNSW Sydney. Before that, I was a postdoctoral fellow in ICERM, Brown University in Feb 2018 to May 2018. I was an ARC Research Fellow in Statistics in La Trobe University, Melbourne in Sep 2016 to Jan 2018. I was a one-year postdoctoral fellow in City University of Hong Kong in Oct 2015 to Aug 2016 and a half-year research assistant in University of New South Wales,...view more
I am a postdoctoral fellow in School of Mathematics and Statistics in UNSW Sydney. Before that, I was a postdoctoral fellow in ICERM, Brown University in Feb 2018 to May 2018. I was an ARC Research Fellow in Statistics in La Trobe University, Melbourne in Sep 2016 to Jan 2018. I was a one-year postdoctoral fellow in City University of Hong Kong in Oct 2015 to Aug 2016 and a half-year research assistant in University of New South Wales, Australia in Apr 2015 to Oct 2015. I obtained my PhD in UNSW Australia under the supervision of Prof Ian Sloan, A/Prof Robert Womersley and Prof Michael Cowling.
I am interested in computational mathematics, statistical analysis, data science and machine learning, in particular in
- Tight frames, Fast algorithms, Sparse approximation
- Geometric Deep Learning, Distributed Learning, Optimization Algorithms, Data Theory, Information Geometry
- Computational Astrophysics and Astrostatistics
- Spatial Statistics and Bayesian Methods
- Infinite-dimensional SDEs, Random fields
My Research Supervision
Areas of supervision
Computational Mathematics, Data Science, Machine Learning
I am/was a tutor for the following courses in UNSW Sydney.
- Semester 3 2019, MATH3101/5305 Computational Mathematics (Numerical Methods for PDEs)
- Semester 2 2018, MATH2089 Numerical Methods and Statistics
- Semester 1 2015, MATH1131 Mathematics 1A
- Semester 2 2014, MATH1231 Mathematics 1B, MATH1241 Higher Mathematics 1B, MATH2019 Engineering Mathematics 2E
I have co-supervisor of two masters students in Statistics and Data Science at UNSW, 2018--2019.
- Yi Guo, thesis title: Cosmo-Encoder: A Bayesian deep learning approach for cosmic microwave background inpainting.
- Kai Yi, thesis title: Variational autoencoder for cosmic microwave background image inpainting.
Location
UNSW Sydney
NSW 2052
The Red Centre
Room 2075
Publications
ORCID as entered in ROS
