Research Scientist at DeepMind 所做项目： Portfolio Selection System 2013年3月 – 2014年5月 项目说明I was engaged in research on time series prediction based on the features of integrated time series. My duties included design and implementation (R & Java) and testing of the forecasting methods. The key idea employed was modelling multivariate distribution with Kernel Density Estimators and taking conditional expected value as a predictor. The role of the small-scale inhomogenities in general relativity and cosmology 项目说明Responsibility for development of the software that numerically solves differential equations of General Relativity Theory, that are relevant to the universe models investigated by the leader of the project. Implementation in C++ in object-oriented design.