معرفی
Yang Li is an Associate Professor in the Department of Mathematics and Statistics at Florida Atlantic University (FAU), where they have served since 2021, initially as Assistant Professor (2021-2024) before promotion to Associate Professor (2024-present). Prior to FAU, Dr. Li held faculty positions at the University of Minnesota Duluth as Assistant Professor (2013-2019) and Associate Professor (2019-2020).
Their educational background includes a dual PhD trajectory: a PhD in Statistics from Iowa State University (2013) and a PhD in Physics from the University of Minnesota (2006), complemented by a BS in Physics from the University of Science and Technology of China (2001).
Dr. Li's research spans multiple interconnected domains with particular emphasis on spatial statistics, spatio-temporal processes, network analysis, machine learning, and statistical computing. Their work demonstrates a unique interdisciplinary approach that bridges theoretical statistical methodology with practical applications, particularly in environmental science and plant biology.
The publication record reveals two primary research streams: one focused on environmental applications (particularly plant responses to heavy metal toxicity and remediation strategies using nanoparticles and other treatments), and another centered on network science and statistical methodology development. Recent publications (2023-2025) show continued productivity across both streams with significant contributions to understanding plant-metal interactions and advancing network analysis techniques.
As an educator, Dr. Li teaches across the statistics curriculum at FAU, from introductory courses like STA 2023 (Introductory Statistics) to advanced graduate courses including STA 6444 (Mathematical Probability) and CAP 5768 (Introduction to Data Science). They have also taught numerous mathematics courses including calculus sequences.
Dr. Li actively mentors graduate students, currently advising PhD candidates Deepak Bastola and Samith Kuruppu, along with several MS students in Mathematics and Data Science. Their advising portfolio includes over 20 graduate students across their career at both FAU and University of Minnesota Duluth, plus multiple undergraduate research projects.
