About Yuxiao Li Yuxiao Li Ph.D., Statistics Environmental Statistics statistics Yuxiao Li obtained his Ph.D. degree in Statistics from King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Ying Sun in the Environmental Statistics 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. Research Interest: His research interests lie in the fields such as Articles Related News November 2022 Deep neural networks that “get” spatial dependence 2 min read · Mon, Nov 7 2022 News A deep-learning technique could offer accurate large-scale predictions in the field of geospatial statistics. April 2021 Introducing "THE FANTASTATISTICS 4" 1 min read · Thu, Apr 15 2021 News Introducing KAUST’s very own "THE FANTASTATISTICS 4." Gaurav Agarwal, Jian Cao, Wanfang Chen, and Yuxiao Li are four Ph.D. alumni from the Statistics program at KAUST. The four students obtained their Ph.D.s last year under the supervision of Professor Ying Sun, Agarwal and Li, and Distinguished Professor Marc Genton, Cao and Chen, respectively. December 2020 Modeling rainfall drop by drop 1 min read · Sun, Dec 20 2020 News water security Environmental Statistics statistics A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events. KAUST STAT students come together for second ASA chapter meeting 2 min read · Thu, Dec 3 2020 News statistics data science Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal. December 2018 Chasing spatial patterns 1 min read · Sun, Dec 2 2018 News climate science A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change. April 2018 Second year Ph.D. student to receive top statistics award 1 min read · Wed, Apr 11 2018 Awards News Spotlight Environmental Statistics statistics KAUST second year Ph.D. student Yuxiao Li has been selected to receive a Student Paper Award from the American Statistical Association (ASA) for his paper entitled "Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation." Ph.D. Student Yuxiao Li won the ENVR student paper award 2 min read · Wed, Apr 11 2018 News student award statistics KAUST second year Ph.D. student Yuxiao Li has been selected to receive a Student Paper Award from the American Statistical Association (ASA) for his paper entitled "Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation." Students shine on the statistics stage 2 min read · Mon, Apr 2 2018 News Spotlight Statistics of extremes Environmental Statistics spatial statistics KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li have been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting. Ph.D. Student Yuxiao Li won the ENAR Distinguished Student Paper Award 1 min read · Mon, Apr 2 2018 News student award statistics KAUST Ph.D. student Yuxiao Li has been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting. March 2018 Student Focus: Wanfang Chen and Yuxiao Li 1 min read · Sun, Mar 18 2018 News Spotlight student focus Married couple Wanfang Chen and Yuxiao Li came to KAUST in August 2016 to pursue their Ph.D. studies in the field of statistics. Both students are based in the University's Computer, Electrical and Mathematical Science & Engineering division—Chen under the supervision of Distinguished Professor Marc Genton and Li under the supervision of Professor Ying Sun. Prior to joining KAUST, both Chen and Li obtained their undergraduate degrees in mathematics at the Beijing Institute of Technology (BIT). Chen completed her master's degree in econometrics at Xiamen University (XMU), China, while Li
Deep neural networks that “get” spatial dependence 2 min read · Mon, Nov 7 2022 News A deep-learning technique could offer accurate large-scale predictions in the field of geospatial statistics.
Introducing "THE FANTASTATISTICS 4" 1 min read · Thu, Apr 15 2021 News Introducing KAUST’s very own "THE FANTASTATISTICS 4." Gaurav Agarwal, Jian Cao, Wanfang Chen, and Yuxiao Li are four Ph.D. alumni from the Statistics program at KAUST. The four students obtained their Ph.D.s last year under the supervision of Professor Ying Sun, Agarwal and Li, and Distinguished Professor Marc Genton, Cao and Chen, respectively.
Modeling rainfall drop by drop 1 min read · Sun, Dec 20 2020 News water security Environmental Statistics statistics A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
KAUST STAT students come together for second ASA chapter meeting 2 min read · Thu, Dec 3 2020 News statistics data science Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.
Chasing spatial patterns 1 min read · Sun, Dec 2 2018 News climate science A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change.
Second year Ph.D. student to receive top statistics award 1 min read · Wed, Apr 11 2018 Awards News Spotlight Environmental Statistics statistics KAUST second year Ph.D. student Yuxiao Li has been selected to receive a Student Paper Award from the American Statistical Association (ASA) for his paper entitled "Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation."
Ph.D. Student Yuxiao Li won the ENVR student paper award 2 min read · Wed, Apr 11 2018 News student award statistics KAUST second year Ph.D. student Yuxiao Li has been selected to receive a Student Paper Award from the American Statistical Association (ASA) for his paper entitled "Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation."
Students shine on the statistics stage 2 min read · Mon, Apr 2 2018 News Spotlight Statistics of extremes Environmental Statistics spatial statistics KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li have been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting.
Ph.D. Student Yuxiao Li won the ENAR Distinguished Student Paper Award 1 min read · Mon, Apr 2 2018 News student award statistics KAUST Ph.D. student Yuxiao Li has been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting.
Student Focus: Wanfang Chen and Yuxiao Li 1 min read · Sun, Mar 18 2018 News Spotlight student focus Married couple Wanfang Chen and Yuxiao Li came to KAUST in August 2016 to pursue their Ph.D. studies in the field of statistics. Both students are based in the University's Computer, Electrical and Mathematical Science & Engineering division—Chen under the supervision of Distinguished Professor Marc Genton and Li under the supervision of Professor Ying Sun. Prior to joining KAUST, both Chen and Li obtained their undergraduate degrees in mathematics at the Beijing Institute of Technology (BIT). Chen completed her master's degree in econometrics at Xiamen University (XMU), China, while Li
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