Jian-Xun Wang

Postdoctoral Scholar
Department of Mechanical Engineering
University of California, Berkeley

Dr. Jian-Xun Wang holds a Ph.D. degree in Aerospace Engineering and a Master degree in Ocean Engineering from Virginia Tech, USA. He also holds a master's degree in Mechanical Engineering and a bachelor's degree in Naval Architecture and Ocean Engineering from Harbin Institute of Technology (HIT), China.

Currently, he is working as a Postdoctoral Scholar at the University of California, Berkeley and he is also affiliated with the Dept. Aerospace and Mechanical Engineering at the University of Notre Dame. In 2018, he will join the Dept. of Aerospace and Mechanical Engineering at the University of Notre Dame as a Tenure-track Assistant Professor.

His current research focuses on data-enabled modeling (data assimilation, machine learning) and uncertainty quantification (UQ) in fluid mechanics and other physical applications.

Research Interests

  • Computational Fluid Dynamics (CFD)
  • Inverse Modeling & Data Assimilation
  • Machine Learning
  • Uncertainty Quantification
  • Hemodynamics


  • Postdoc, Mechanical Engineering, University of California, Berkeley, USA, 2017-present
  • Ph.D., Aerospace Engineering, Virginia Tech, USA, 2013-2017
  • M.S., Ocean Engineering, Virginia Tech, USA, 2013-2016
  • M.S.,  Mechanical Engineering, Harbin Institute of Technology, China, 2011-2013
  • B.S., Naval Architecture & Ocean Engineering, Harbin Institute of Technology, China, 2007-2011


  • Postdoctoral Scholar, University of California, Berkeley, 08/2017-present
  • Affiliate, University of Notre Dame, 08/2017-present
  • Visiting Scholar, Missouri University of Science and Technology, 05/2017-07/2017
  • Visiting Scholar, Center For Turbulence Research, Stanford University, 06/2016-07/2016
  • Research Assistant, Dept. of Aerospace and Ocean Engineering, Virginia Tech, 08/2013-05/2017

Awards & Grants

  • Travel grant for USACM Thematic Workshop on UQ and Data-Driven Modeling, 2017
  • Summer Program Fellowship, Center For Turbulence Research (CTR) at Stanford University, 2016
  • SIAM Student Travel Award for SIAM Conference on Uncertainty Quantification (UQ16), 2016
  • Student Travel Grant for Rocky Mountain Summer Workshop on Uncertainty Quantification, 2015
  • Pratt Fellowship, Virginia Tech, 2013
  • Outstanding Graduates of Heilongjiang Province, 2013
  • Excellent MSc. Thesis (1st Place), 2013
  • National Graduate Fellowship in China, 2012
  • Outstanding Graduates of Harbin Institute of Technology, 2011
  • People's Scholarship, 2008/2009/2010/2011
  • Excellent Social Work Scholarship, 2008/2009/2010/2011
  • Excellent Leader of Harbin Institute of Technology, 2010
  • Excellent League Member of Harbin Institute of Technology, 2008
  • Outstanding Social Worker of Harbin Institute of Technology, 2008/2009
  • Excellent Association Worker, 2008/2009
  • Progress Scholarship, 2007

Latest News

  • [11/18/2017] Presented at APS-70th Annual Meeting of the APS Division of Fluid Dynamics (APS-DFD), Denver, USA.
  • [11/17/2017] Attended 2017 West Coast ROM Workshop, Lawrence Berkeley National Laboratory, Berkeley, USA.
  • [03/07/2017] Invited talk at University of Notre Dame.
  • [02/22/2017] Passed the Ph.D. defense.
  • [11/29/2016] Passed the Ph.D. pre-defense. 
  • [11/19/2016] Presented at APS-69th Annual Meeting of the APS Division of Fluid Dynamics (APS-DFD16) in Portland, USA. 
  • [06/25/2016] Attended CTR Summer Program at Stanford University, USA. 
  • [04/05/2016] Presented at SIAM Uncertainty Quantification (UQ16) Conference at Lausanne, Switzerland.
  • [02/28/2016] Awarded CTR Summer Program Fellowship from Center For Turbulence Research at Stanford!
  • [12/15/2015] Awarded SIAM Travel Award for SIAM Conference on Uncertainty Quantification (UQ16)! 
  • [10/07/2015] Passed the Ph.D. preliminary exam
  • [07/19/2015] Attended Rockey Mountain Summer Workshop on Uncertainty Quantification (RMSWUQ) at Denver, Colorado, USA
  • [04/17/2015] Student Travel Grand  (RMSWUQ) has been approved
  • [03/14/2015] Presented at SIAM Computational Science and Engineering Conference (SIAMCSE15) at Salt Lake City, Utah, USA