Member Database

Xun Huan

Assistant Professor
Mechanical Engineering

PhD, Computational Science and Engineering, MIT
SM, Aeronautics and Astronautics, MIT

Xun (Ryan) Huan is an Assistant Professor of Mechanical Engineering at the University of Michigan. Prior to U-M, he was a postdoctoral researcher at Sandia National Laboratories in Livermore, California. His research involves developing computational methods and tools for uncertainty quantification, machine learning, and numerical optimization. He is particularly interested in optimal experimental design, Bayesian analysis, multilevel and multifidelity methods, model misspecification, and scientific computing. Some of his current projects include creating data-driven models for balance training of older adults, and quantifying the uncertainty from deep learning models used in computational medicine.


Funded 2019 Investigators Award -- "Personalized Data-driven Balance-Training Instruction and Assessment for Older Adults

University Affiliation(s)


Research Area(s)

Balance training | Bayesian Modeling | Data science / Analytics / AI | Deep neural networks | Mathematical modeling & statistical analysis


  • Principal investigator of: Artificial Intelligence guided multi-scale multi-physics framework for discovering complex emergent materials phenomena
  • Principal investigator of: Practical and Optimal Sequential Bayesian Experimental Design for Complex Systems Incorporating Human Experimenter Preferences
  • Principal investigator of: Goal-oriented Bayesian Machine Learning for Closed-Loop Systems
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