Ali Kaazempur-Mofrad

About Me

I am a PhD candidate in the Department of Statistics & Data Science at the University of California, Los Angeles (UCLA). My work lies at the intersection of statistics, machine learning, and market design, with a particular focus on fairness in high-stakes decision-making systems.

I am a member of the SCALE Lab, advised by Dr. Xiaowu Dai. Broadly, my work lies at the intersection of statistical inference, market design, and algorithmic decision-making. I develop inference-driven methods and mechanism-design frameworks for complex allocation and matching problems. My research focuses on building principled statistical foundations for decision making in resource-constrained and strategic environments.

Research

My research focuses on statistical, algorithmic, and market-design tools for complex allocation and decision-making systems. I work on problems where data, incentives, and limited resources interact. A central theme of my work is integrating statistical inference with mechanism design: learning from data while ensuring principled, reliable, and interpretable decision rules.

Research interests:

• Matching markets and mechanism design
• Statistical inference for decision making
• Efficiency analysis and frontier methods
• Uncertainty quantification and distribution-free inference
• Algorithmic resource allocation and routing

Publications

Journal Publications & Preprints

• A. Kaazempur-Mofrad, X. Dai. A data envelopment analysis approach for assessing fairness in resource allocation: Application to kidney exchange programs. Under minor revision at the Annals of Applied Statistics, 2024. arXiv
• A. Kaazempur-Mofrad. A Statistical Analysis on COVID-19 Pandemic in the City of Toronto. Preprint, 2022. doi:10.1101/2022.12.28.22284001
• A. Kaazempur-Mofrad. A Statistical Inquiry into Gender-Based Income Inequality in Canada. Preprint, 2022. arXiv
• A. Kaazempur-Mofrad. Basketball Players’ Long Wingspan Enhances Defensive Upside but Hinders Shooting Capabilities. Preprint, 2022. doi:10.51224/SRXIV.238
• M. Soheilypour, M. Peyro, H. Shams, S. Rider, A. Kaazempur-Mofrad, M. Mofrad. Molecular Mechanisms of the Interaction between the RNA-Binding Protein Nab2 and the Nuclear Basket Protein Mlp1 in mRNA Quality Control. Biophysical Journal, 2019. doi:10.1016/j.bpj.2018.11.1121

Conference Publications

• A. Kaazempur-Mofrad. Blood Flow Patterns in Stenosed Coronary Artery Models. Biomedical Engineering Society Meeting (BMES), Tampa, FL, 2015.

Teaching

University of California, Los Angeles

Teaching Assistant

• STATS 10: Introduction to Statistical Reasoning
• STATS 13: Introduction to Statistical Methods for Life and Health Sciences
• STATS 100B: Introduction to Mathematical Statistics
• STATS 100C: Linear Models
• STATS 101A: Introduction to Data Analysis and Regression
• STATS 102A: Introduction to Computational Statistics with R
• STATS 102C: Introduction to Monte Carlo Methods

Reader / Grader

• STATS 12: Introduction to Statistical Methods for Geography and Environmental Studies
• STATS 100B: Introduction to Mathematical Statistics

Contact

The best way to reach me is by email: amofrad@ucla.edu

Department of Statistics & Data Science
University of California, Los Angeles