BS (Applied Math, Shanghai Jiao Tong University)
MS (CS, Cornell), PhD (Statistics, Berkeley)

My research interests lie broadly in Statistics, randomized algorithms, and machine learning. The central goal is to enable reasoning under uncertainty, to understand natural and stochastic phenomena, and to meet challenges from modern data (along dimensionality, scalability, and structural complexity). In particular,

Learning over continuous data streams
Ensemble methodology
Learning over distributed data
Data contamination and domain adaptation
Deep representation learning
Cost-bounded learning
Computational intelligence inspired by human
Visual representation of complex concepts
Education.

Past and current applied projects

Web access anomaly detection (@Bell Labs)

Land use, land cover and computational ecology

Analysis and modeling of social networks

Personalization and recommendation for e-commerce (@WalMart Labs)

Sustainability analysis of the migration of the Siberian Crane

Study of Covid-19 dynamics.