Huiling Liao

Huiling Liao is an Assistant Professor of Applied Mathematics at Illinois Institute of Technology (IIT). She holds a Ph.D. in Statistics from Texas A&M University and a Bachelor of Economics in Statistics from Renmin University of China.

Education:

• Ph.D. in Statistics, Texas A&M University
• Bachelor of Economics in Statistics, Renmin University of China

Research Interests: Focuses on interdisciplinary applications of statistics and applied mathematics, including neuroimaging data analysis, genetic association studies, financial econometrics, and causal inference methodologies. Her work bridges quantitative biology, financial modeling, and machine learning techniques.

Publication Trends: Recent work spans financial asset pricing models (e.g., ZCAPM framework), genetic studies of brain structure, and causal inference methods applied to transcriptomics. Shows strong focus on large-scale data analysis in both biomedical and financial domains.

Awards:

• 2021: IEEE Healthcare Summit COVID-19 Data Hackathon Winner
• 2015: Outstanding Graduates & Thesis Awards from Renmin University

Research Contributions: Led a nationwide happiness survey project during undergraduate studies, developed statistical pipelines using factor analysis and structural equation modeling. Current projects include neuroimaging genetics and econometric model validation.