Yu Guang Wang

Research Scientist
Email: yuguang.wang@mis.mpg.de
yuguang.wang@unsw.edu.au
Max Planck Institute for Mathematics in the Sciences
&
University of New South Wales
Mail: Max Planck Institute for Mathematics
in the Sciences
Inselstrasse 22, 04103 Leipzig
Germany

Introduction

I am a research scientist at Max Planck Institute for Mathematics in Sciences and adjunct associate lecturer at UNSW Sydney. My research interests lie in computational mathematics, statistics, machine learning, and data science. In particular, I am working on applied harmonic analysis, deep learning, graph neural networks, Bayesian inference, information geometry, random fields, and applications to cosmology, geophysics and biomedical technology.

Research Areas

Appointments

    2020 – Present, Research Scientist, Max Planck Instite for Mathematics in Sciences

    2018 – 2020, Postdoctoral Fellow, University of New South Wales

    2018, Semester Postdoctoral Fellow, ICERM, Brown University

    2016 – 2018, Research Officer in Statistics, La Trobe University

    2015 – 2016, Postdoctoral Fellow in Applied Mathematics, City University of Hong Kong

Long Visits and Adjunct Titles

    2019, Sememster-long Visitor in Deep Learning, IPAM, UCLA

    2017 – 2019, 2020 – Present, Adjunct Associate Lecturer, University of New South Wales

    2015, Research Assistant, University of New South Wales

Education

    Ph.D., Computational Mathematics, University of New South Wales, 2015

        Supervisors: Ian H. Sloan, Robert S. Womersley and Michael G. Cowling

    M.S., Applied Mathematics, China Jiliang University, 2011

    B.S., Mathematics, China Jiliang University, 2008

Publications

    List of publications can be found at my Google Scholar Profile.

Book Chapter

Technical Report

Papers

Recent and Upcoming Seminars

  •  GOLD: The Golden Cosmological Surveys Decade, Orsay, 1 Apr - 5 Jun 2020.
  •  The 12th International Conference on Monte Carlo Methods and Applications, Sydney, 8 Jul - 12 Jul 2019.
  •  ICERM Collaboration on "Geometry of Data and Networks'', Providence, 17 Jun - 21 Jun 2019.
  •  ICML 2019, Long Beach, 10 Jun - 15 Jun 2019.
  •  IPAM Program on "Geometry and Learning from Data in 3D and Beyond'', Los Angeles, 11 Mar - 14 Jun 2019.
  •  AustMS 2018, Adelaide, 4 Dec - 7 Dec 2018.
  •  ICERM Semester Program on "Point Configurations in Geometry, Physics and Computer Science", Providence, 1 Feb - 31 May 2018.
  •  7th International Conference on Computational Harmonic Analysis, Nashville, 14 - 18 May 2018.

Teaching

I was a class tutor in UNSW for following courses.

    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
Last updated on 5th August, 2019 Copyright @ 2019 Yu Guang Wang Top