Junxi Zhang

Junxi Zhang is an Assistant Professor in the Department of Mathematics & Statistics at Concordia University (Montreal, Canada). His research focuses on Bayesian nonparametric models, fairness in machine learning, and reinforcement learning. He holds a PhD in Statistics from the University of Alberta and has previously served as a postdoctoral fellow at the same institution.

• Education: PhD (Statistics, University of Alberta), MS (Mathematics, University of Kansas), BS (Statistics, Huazhong University of Science and Technology)

Research interests include:

• Bayesian nonparametric models: asymptotic analysis, random measures, hierarchical models
• Fairness in machine learning: fair prediction models, bias measurement, health science applications
• Reinforcement learning: optimal control problems, temporal resolution trade-offs
• Additional interests: foundation models, time series analysis, survival analysis

His recent publications address fairness in precision medicine, social bias in labor market text generation, and mathematical foundations of Bayesian nonparametric models. He is actively seeking graduate students in Mathematics and Statistics at the MA, MSc, and PhD levels for collaborative research.