Welcome to my webpage

📖 This is a personal site, and my official university site is here. 📖




sunrise

Contact Information

Tiantian Yang, Ph.D.
Assistant Professor (Tenure-Track)
Mathematics and Statistical Science
University of Idaho
📧 tyang@uidaho.edu




Education

Ph.D., Mathematics with a concentration in Statistics,
Clemson University
M.S., Mathematics with a concentration in Statistics,
Georgia Southern University
B.S. (Dual Bachelor's Degrees), Mathematics and Economics,
Central China Normal University

my profile

About Me

Since August 2023, I am working as a Tenure-Track Assistant Professor of Statistics in the Department of Mathematics and Statistical Science at the University of Idaho (U of I), the Idaho’s only Carnegie R1 university. In August 2021, I earned my PhD degree in mathematics with a concentration in statistics in the School of Mathematical and Statistical Sciences at Clemson University. After that, I held a postdoctoral position at Boston University before joining U of I.


Research Interests

My current primary research interests include theory/method/model development for the above topics, with applications in various fields including biology, medicine, epidemiology, climate, environmental preservation, etc.
I have been dedicated to pursuing independent theoretical and methodological research, while also fostering and seeking long-term collaborative relationships with researchers who share common interests and passions.


Openings at the Yang Lab
How to Apply: We welcome applications from enthusiastic individuals! Positions are subject to change and updated periodically, so please check this page regularly. Qualified candidates may be placed on a waiting list if a position is filled. To apply, please email Dr. Tiantian Yang at tyang@uidaho.edu with: Incomplete applications may not receive a response. If you've taken or are currently in Dr. Yang's class, please mention this in your email. Postdoctoral candidates must also include contact information for three professional references.

News

Statistical Resources