Dr Yijun Zhou

Dr Yijun Zhou currently serves as a postdoctoral researcher at the Singapore-ETH Centre, where he investigates individualised risk factors and employs predictive modeling to address hip fractures - an area poised to significantly enhance care and mobility for older adults. Collaborating closely with teams at Duke-NUS, he leverages finite element simulation, machine learning-based surrogate modeling, and data analytics to develop targeted strategies for reducing fracture risks.

Prior to his current role, Dr Zhou earned his PhD from Uppsala University, Sweden, with a dissertation on the “Mechanical Optimization of Orthopaedic Bone Screw Constructs.” His expertise lies at the intersection of engineering innovation and human physiology, encompassing numerical simulation, numerical optimization, and machine learning-driven surrogate modeling. Guided by an interdisciplinary approach, Dr Zhou is dedicated to translating cutting-edge research into meaningful health benefits.

Research interests

• Surrogate modelling
• Model order reduction
• Numerical optimization
• Numerical simulation
  

Education

• PhD, Uppsala University, 2020-2023
• Masters Degree, Technical University of Munich, 2017-2019
• Bachelors Degree, Dalian University of Technology, 2012-2016

Publications

View Dr Zhou's list of publications external page here.

Social Media

Connect with Dr Zhou on external page LinkedIn.