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Jia Li is a Professor of Statistics and Computer Science at Penn State University. He received his Ph.D. in Electrical Engineering from Stanford University in 1999 and holds M.Sc. degrees in Electrical Engineering and Statistics from Stanford (1995, 1998). He completed his B.S. in Information Control Engineering from Xi'an Jiao Tong University, China, in 1993. His current research focuses on high-dimensional clustering, learning Wasserstein metric space, hidden Markov models, and their applications in biomedicine, computational psychology, and meteorology. He served as the Editor-in-Chief for Statistical Analysis Data Mining: ASA Data Science Journal from 2018 to 2020 and has held positions such as Program Director at the National Science Foundation and Visiting Scientist at Google Labs. Li has contributed to numerous publications in prestigious journals, covering various aspects of statistical analysis and data mining in relation to machine learning and image processing.
Penn State University • University Park, PA
Leading research and teaching in the fields of Statistics and Computer Science.
National Science Foundation •
Oversaw funding and development of research programs in statistical sciences.
Google Labs • Pittsburgh, PA
Collaborated on machine learning and data mining projects.
Xerox Palo Alto Research Center • Palo Alto, CA
Conducted research in statistical analysis and machine learning.
Stanford University, Department of Computer Science • Stanford, CA
Focused on statistical methods in computing.
GRE scores are highly recommended but not strictly required for Applied Linguistics.