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Han Yu, Ph.D.

Han Yu, Ph.D.

Associate Professor

Applied Statistics and Research Methods
Education and Behavioral Sciences

Contact Information

Mailing Address
University of Northern Colorado
Applied Statistics and Research Methods
Campus Box 124
Greeley, CO 80639


Professional/Academic Experience

Joined the University of Northern Colorado (UNC) in 2017. After completing Ph.D., I taught and developed a variety of statistics and data science courses at universities in the USA, catering to a wide range of academic levels, from undergraduate to doctoral students. At UNC, I am dedicated to teaching both statistics and data science courses, engaging in scholarship, and advising master’s and Ph.D. students on research projects that primarily focus on kernel-based semiparametrics and double machine learning, methodologies that are crucial in the contemporary field of causal inference and missing data. 

Graduate Courses Taught in UNCO:

Research/Areas of Interest

I have established a research program focused on modeling, reasoning, inference, discovery, and interpretation of the latent mechanisms underlying complex, high-dimensional network data. Rooted in contemporary measure-theoretic probabilistic reasoning theory, my work explores the functional spaces of probability measures through a minimax coherent paradigm. I have actively pursued various opportunities for interdisciplinary collaborative research projects. These projects largely rely on measure-theoretically sound methodologies and leverage advanced ML/AI algorithms for structural causal learning and discovery. 

I have cultivated insights into a unified measure-theoretic approach to causal inference. This approach leverages functional analysis for product measure-theoretic reasoning applied to random objects in spaces of functions associated with functional co-occurrence data, an expertise fortified through extensive engagement with multidisciplinary research.

My research interests span the following areas:

Publications/Creative Works

Honors and Awards