Jing came from China to MIT for his Ph.D. in Mechanical Engineering and Computation in Fall 2012. He is interested in uncertainty quantification, data assimilation and Bayesian inference for nonlinear dynamical systems, including applications in fluid flows governed by the unsteady incompressible Navier-Stokes equations. He is currently working on:

• Active Transfer Learning (ATL) for Ocean Modeling
• Long-duration Environmentally-adaptive Autonomous Rigorous Naval Systems (LEARNS)

His publications so far include:

• Aoussou, J., J. Lin and P.F.J. Lermusiaux, 2018. Iterated Pressure-Correction Projection Methods for the Unsteady Incompressible Navier-Stokes Equations. Journal of Computational Physics, DOI: 10.1016/j.jcp.2018.06.062