I went to classes given by the summer school held in Harbin Industrial University from July to August, 2017. They invited some professors. Check here for more info. I gave a talk to the students in my lab after returning, here are the slides. The main goal of this talk is to show the difference of machine learning and data assimilation. The themes given by those professors are listed below.
Prof. Francois
Research Area：Variational data assimilation (VAR), especially 4DVAR.
Keynotes：The direvation of adjoint models, sensitivity analysis and the introduction of image assimilation. See the minutes file for details.
Prof. Jordan
Research Area：Statistical Learning
Keynotes: Summarize popular machine learning algorithms, and prove the convergence etc. See the minutes file for details.
Prof. Jurgen
Research Area：AI, DL
Keynotes: The introduction of utilizing AI. Check more from his home page.
Prof. Ma
Research Area：Compression sensing.
Keynotes: The introduction of compression sensing and its applications.
Prof. Cai
Research Area：Statistical inference.
Keynotes: Statistical inference in high-dimensions. No slides, the minutes file is here.
Slides and records are available in the baidu network disk with password 6o2x. Enjoy yourself.