Zecheng Zhang

Assistant Professor

Scientific ML and AI (AI and Machine Learning), Theoretical Foundations (AI and Machine Learning)

Ph.D., Texas A&M University, 2021
M.Sc., University of Alberta, 2016
B.Sc., Hong Kong Baptists University, 2014

Dr. Zhang received a B.Sc. from the Department of Mathematics at Hong Kong Baptist University, followed by a fully funded M.Sc. in Mathematics at the University of Alberta. He completed his Ph.D. in Mathematics at Texas A&M University in 2021 under the supervision of Professors Yalchin Efendiev and Eric Chung. After graduation, Dr. Zhang held a visiting assistant professorship in the Department of Mathematics at Purdue University, working with Professor Guang Lin, followed by a postdoctoral position in the Department of Mathematical Sciences at Carnegie Mellon University with Professor Hayden Schaeffer (at UCLA). In August 2023, Dr. Zhang joined the Department of Mathematics at Florida State University as an Assistant Professor. Dr. Zhang's research began in multiscale finite element methods and has since shifted toward mathematical and scientific machine learning. He is interested in the mathematical analysis and computational applications of operator learning for scientific applications such as PDE solving and model reduction and his work also involves developing foundation models for scientific problems and uncertainty quantification. Dr. Zhang's research is currently funded by DOE AI for Science.