We use stochastic generators to predict weather because the best way to predict the future is to create it.
Office: Building 1, 4th floor, 4200-WS10
Yuxiao Li is a Ph.D. candidate in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Ying Sun in her research group.
Education and Early Career:
Yuxiao obtained his Bachelor of Science degree in Mathematics in 2013 from Beijing Institute of Technology, Beijing, China. In 2015, he graduated with his Master of Science degree in Statistics from the University of California at Irvine, USA. Then, he joined the Ph.D. program in Statistics at KAUST.
His research interests lie in the fields such as computational methods for large datasets, deep learning, environmental statistics, spatio-temporal statistics, and stochastic weather generator.
Honors and Awards:
2018 ENAR Distinguished Student Paper Award
2018 ASA Student Paper Award, Section on Statistics and the Environment
2011 Xu Teli Scholarship