Tianhong Sheng
Tianhong Sheng is a fifth year Ph.D. candidate in the Department of Statistics at Penn State.
I am generally interested in Machine Learning and Statistics, such as Probabilistic Graphical Models, Reproducing Kernel Hilbert Spaces in Probability and Statistics, Causal Inference, Statistical Learning Theory, Non-parametric Statistics as well as Convex/Non-convex Optimization problems in statistics.
Please visit my personal website for more details about my research.
Ph.D. Advisor
Dr. Bing Li and Dr. Bharath Sriperumbudur
Personal Website
Teaching Experience
Instructor:
STAT 460: Intermediate Applied Statistics, Spring 2020
STAT 200 WEB: Elementary Statistics, Summer 2019
STAT 200 WEB: Elementary Statistics, Summer 2018
TA:
STAT 414: Introduction to Probability Theory, Fall 2017. Instructor: Dr. Donald Richards
STAT 414 WC: Introduction to Probability Theory, Spring 2018. Instructor: Dr. Armine Bagyan
STAT 250: Introduction to Biostatistics, Fall 2018. Instructor: Ms. Stefanie Austin
STAT 250: Introduction to Biostatistics, Spring 2019. Instructor: Ms. Michelle Paret
STAT 551: Linear Model I, Fall 2019. Instructor: Dr. Bing Li
STAT 551: Linear Model I, Fall 2020. Instructor: Dr. Bing Li