Dr. Anxiao (Andrew) Jiang received the B.Sc. degree in electronic engineering from Tsinghua University, Beijing, China in 1999, and the M.Sc. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, California in 2000 and 2004, respectively.

He is currently a Full Professor in the Computer Science and Engineering Department at Texas A&M University. He has held visiting positions at California Institute of Technology, University of California in San Diego and Ecole Polytechnique Federale de Lausanne (EPFL), and has been a consulting researcher at HP Labs, EMC and Microsoft Research. His research interests include information theory and coding theory, data storage and machine learning.

Prof. Jiang is a recipient of the NSF CAREER Award in 2008 for his research on information theory for flash memories, the 2009 IEEE Communications Society Best Paper Award in Signal Processing and Coding for Data Storage, and the NVMW Persistent Impact Prize in 2020 that recognizes "outstanding work in the area of persistent memory whose impact has stood the test of time." He also received the Award for Second Place in the ECCV Chalearn LAP Inpainting Competition (Track 3: Fingerprint Denoising and Inpainting) in 2018, and the Best Paper Award at INFORMS Conference on Quality, Statistics and Reliability (ICQSR) in 2024. He has been a senior member of IEEE, and an associate editor of IEEE Transactions on Information Theory. 

He has a keen interest in education, and has received the Graduate Faculty Teaching Excellence Award of 2012-2013 and 2019-2020 from the CSE department at Texas A&M University.