He also applies these machine learning techniques to ecology studies, spatial data modeling, and chemical data analysis. Liu previously held the position of postdoctoral associate at Columbia University. He is a reviewer for several conferences and journals on machine learning.
My research focuses on probabilistic models and neural networks for learning problems arising from real applications. My research topics include probabilistic modeling, statistical inference, generative models, graph neural networks, graph data modeling, biochemical data analysis, anomaly detection.