{{ :xshang.jpg?250|}}

====== Xiaocheng Shang======


====== Education: ======

  * 2012--2015, PhD in Applied and Computational Mathematics, [[http://www.ed.ac.uk/ | University of Edinburgh]], Edinburgh, United Kingdom (Advisor: Professor [[http://kac.maths.ed.ac.uk/~bl/ | Benedict Leimkuhler]], FRSE)

====== Research Interests: ======

  * Numerical Methods and Error Analysis for Stochastic Differential Equations
  * Molecular Dynamics, Statistical Mechanics, Multiscale Methods
  * Momentum-Conserving Thermostats, Dissipative Particle Dynamics
  * Nonequilibrium Modelling, Adaptive Thermostats
  * Bayesian Sampling, Machine Learning, Data Science

====== Publications: ======

  - B. Leimkuhler and **X. Shang**. [[http://dx.doi.org/10.1016/j.jcp.2014.09.008 | On the numerical treatment of dissipative particle dynamics and related systems]]. //Journal of Computational Physics//, **280**, 72--95, (2015) 
  - B. Leimkuhler and **X. Shang**. [[http://dx.doi.org/10.1137/15M102318X | Adaptive thermostats for noisy gradient systems]]. //SIAM Journal on Scientific Computing//, **38**, A712--A736, (2016) 
  - **X. Shang**, Z. Zhu, B. Leimkuhler and A. Storkey. [[https://papers.nips.cc/paper/5978-covariance-controlled-adaptive-langevin-thermostat-for-large-scale-bayesian-sampling | Covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling]]. //Advances in Neural Information Processing Systems (NIPS) 28//, 37--45, (2015)
  - B. Leimkuhler and **X. Shang**. [[http://dx.doi.org/10.1016/j.jcp.2016.07.034 | Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics]]. //Journal of Computational Physics//, **324**, 174--193, (2016) 

====== Conferences and Symposia: ======

====== Professional Service: ======
**Reviewer of**
  * Journal of Computational Physics
  * Journal of Computational Chemistry