Ruiqi Gao

I am a Research Scientist at Google, Brain team. I am mainly interested in generative models and representation learning. Specifically, I work on efficient and scalable learning algorithms of deep generative models, with an emphasis on energy-based models (EBMs), but also including other types of models. I also work on representational models with implications in neuroscience. I obtained my Ph.D. from UCLA advised by Song-Chun Zhu and Ying Nian Wu. Prior to that, I received my B.S. degree of Statistics from Peking University in China.

Contact: ruiqigao at ucla dot edu

Highlight research themes:

(1) Maximum likelihood learning of deep generative models.

(2) Joint learning of various models.

(3) Representational models with implications in neuroscience.