Brief biography

Molei Tao received B.S. in Mathematics and Physics (Academic Talent Program) in 2006 from Tsinghua University, China, and Ph.D. in Control & Dynamical Systems with a minor in Physics in 2011 from California Institute of Technology (Caltech; advisor: Houman Owhadi, co-advisor: Jerry Marsden). Afterwards, he worked as a postdoctoral researcher in Computing & Mathematical Sciences at Caltech from 2011 to 2012, and then as a Courant Instructor at New York University from 2012 to 2014. From 2014 on, he has been working as an assistant, and then associate professor in School of Mathematics at Georgia Institute of Technology. He is a recipient of W.P. Carey Ph.D. Prize in Applied Mathematics (2011), American Control Conference Best Student Paper Finalist (2013), the NSF CAREER Award (2019), AISTATS best paper award (2020), IEEE EFTF-IFCS Best Student Paper Finalist (2021), Cullen-Peck Scholar Award (2022), GT-Emory AI.Humanity Award (2023), a Plenary Speaker at Georgia Scientific Computing Symposium (2024), a Keynote Speaker at (2024) International Conference on Scientific Computing and Machine Learning, and SONY Faculty Innovation Award (2024).