Default alt text
Dr. Yingze Hou
Area Of Interest
  • Robust Optimization
  • Change Detection
Curriculum vitae

Career:

  • 07/2025–Present: Postdoctoral Research Fellow at the Technical University of Munich, Germany
  • 08/2021–12/2023: Undergraduate Lecturer for Probability and Statistics at the University of Pittsburgh, USA
  • 02/2022–03/2022: Graduate Guest Lecturer for Statistical Analysis at the University of Pittsburgh, USA
  • 01/2019–05/2019: Graduate Teaching Assistant for Interest Rate & Credit Risk at the Johns Hopkins University, USA
  • 08/2018–12/2018: Graduate Teaching Assistant for Investment Science at the Johns Hopkins University, USA


Education:

  • 01/2020–05/2025: Ph.D. in Industrial Engineering at the University of Pittsburgh, USA
  • 08/2017–05/2019: Master of Science in Financial Mathematics at the Johns Hopkins University, USA
  • 08/2015–08/2017: Bachelor of Science in Economics at Purdue University, USA
  • 08/2013–06/2015: Bachelor of Science in Economics at the China Agricultural University, China

Yingze Hou is a postdoctoral researcher at the Technical University of Munich, working at the intersection of optimization and robust decision-making. His research explores how formal mathematical frameworks can be extended beyond traditional domains, bridging technical rigor with interdisciplinary narratives to address uncertainty and adaptability in complex systems.

TOP