Prof. Ho Pham Minh Nhat, University of Texas at Austin

Nhat Ho is currently an Assistant Professor of Data Science and Statistics at the University of Texas at Austin. He is a core member of the University of Texas, Austin Machine Learning Lab-oratory and senior personnel of the Institute for Foundations of Machine Learning. He is currently associate editor of Electronic Journal of Statistics and area chair of ICML, NeurIPS, ICLR, AISTATS, and AAAI. His current research focuses on the interplay of four principles of machine learning and data science: (1) Heterogeneity ofcomplex data, including mixture and hierarchical models and Bayesian nonparametrics; (2) Stability and optimality of optimization and sampling algorithms for solving statis-tical machine learning models; (3) Scalability and efficiency of optimal transport for machine learning and deep learning applications; (4) Interpretability, efficiency, and robustness of massive and complex machine learning models.