Nicholas Gao

Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.056
E-Mail: gaoni@in.tum.de

GitHub: n-gao
Google scholar: Google scholar

Research Focus

  • Machine learning for graphs and molecules
  • Machine learning-based ab-initio quantum chemistry
  • Graph neural networks

Selected Publications

For a full list, see Google scholar.

Education

  • 2017 - 2020: M.Sc. Computer Science, Technical University of Munich
    • Master's thesis: Fast and Flexible Temporal Point Processes using Triangular Maps
    • top 10% - passed with high distinction
  • 2014 - 2017: B.Sc. Computer Science, Technical University of Brunswick
    • Bachelor's thesis: Visualizing the IoT with Mixed Reality
    • top 10%

Academic Honors and Awards

  • 2019: Deutschlandstipendium awarded by the Technical University of Munich
  • 2016: Deutschlandstipendium awarded by the Technical University of Brunswick