Research Field: Bayesian Statistics, Monte Carlo Computation, Markov Chains, Analysis of Stochastic Algorithms in Data Science

Research Field: Machine learning approximation algorithms, computational stochastics, numerical analysis for high dimensional partial differential equations (PDEs), stochastic analysis, and computational finance

Research Field: Learning and generalization, Geometric Deep Learning, Learning for Graphics, Learning for Robotic Grasps and Manipulation, Generative 3D modeling, Sim2Real 3D semantics

Research Field: Computer Vision, Artificial Intelligence, and Machine Learning

Research Field: Gaussian Process, Variational Bayes, Traffic Flow Network Data, Cryo-EM Data, Uncertainty Quantification, Flow Cytometry Data, Mixture Of Experts

Research Field: Random Matrices, Probability, High-dimensional Statistics, Quantum Computing

Research Field: Optimal Transport, Spin Glass, Learning Theory, Theory of Deep Learning, Statistical Inference of High Dimensional Discrete Problems

Research Field: Speech Signal Processing, Spoken Language Technology, Linguistic and Paralinguistic in Speech, Communication Disorders and Assistive Technology

Research Field: Machine Learning for Sequential Data Analysis and Decision-making, Applications to Healthcare, Smart Cities, and Social Media

Research Field: Trustworthy Machine Learning, Online Learning, Power Systems, Smart Grid and Control