Nhat Ho is an Assistant Professor in Data Science, Machine Learning, and Statistics at the University of Texas at Austin. He is a core member of the University of Texas, Austin Machine Learning Laboratory and senior personnel of the Institute for Foundations of Machine Learning. Prior to his position in Austin, he was a postdoctoral fellow in the Electrical Engineering and Computer Science Department at the University of California, Berkeley from 2017 to 2020. He earned his PhD in Statistics from the University of Michigan, Ann Arbor in 2017. Currently, he serves as an area chair for conferences such as ICML, ICLR, AISTATS, and AAAI, in addition to being an associate editor for the Electronic Journal of Statistics. His research is primarily centered on developing scalable, efficient, safe, and interpretable AI models with applications to healthcare and autonomous vehicles.