Junxi Zhang, Concordia University

Work Experience

Assistant Professor since 08. 2024
Department of Mathematics and Statistics
Concordia University


Postdoctoral fellow, May 2023 to July. 2024
University of Alberta

Education

PhD in Statistics, April. 2023
University of Alberta

Master in Mathematics, December. 2017
University of Kansas

Research areas

• Bayesian nonparametric models and inferences: asymptotic analysis, random measures, consistency, dependent models, hierarchical models and their applications.
• Fairness in machine learning: fair prediction models and inferences, promoting fairness in health science, measurements of fairness and faithfulness, pre-processing methods, joint modeling.
• Reinforcement learning: optimal control problems on reinforcement learning methods.
• I am also interested in areas including foundation models, time series analysis based on machine learning tools, survival analysis, etc..

Research group

I am looking for students to work with on research at the graduate level. If you are interested in the opportunities, please feel free to reach out.


Please check the following website for more information on the graduate programs and how to apply:

https://www.concordia.ca/artsci/math-stats/programs/graduate.html 

Fall 2024

MAST 387: Data Science Lab

Winter 2025

STAT 497 / MACF 491 / MAST 679 / MAST 881 : Topics in statistics

STAT 460 / MAST 667 / MAST 881 : Time series

Publications

A list of my publications can be found on https://scholar.google.ca/citations?user=JsmvYPQAAAAJ&hl=en or
 https://www.researchgate.net/profile/Junxi-Zhang or https://junxi-zhang.github.io/.