Develop Bayesian mediation models to analyze chemical exposure mixtures in environmental health.
Investigate the relationship between frailty and pancreatic cancer using statistical methods.
Study public health data fairness and accessibility, summarizing key concepts and proposing a comprehensive framework to improve data representativeness and usability.
Built a new framework for the plant-capture method to estimate population size by incorporating uncertainty in the plants’ assessments and also other factors with Bayesian and frequentist inference approaches.
Analyzed the stock population, proposed new Bayesian genetic mark-recapture methods, and applied them to simulation studies and real-data analysis.
Winter 2024 STAT 436/836 Introduction to the Analysis of Spatial Data in Health Research
Spring 2023 STAT 431 Generalized Linear Models and their Applications
Winter 2023 STAT 436/836 Introduction to the Analysis of Spatial Data in Health Research
Fall 2022 STAT 371 Applied Linear Models and Process Improvement for Business
Spring 2022 STAT 431 Generalized Linear Models and their Applications
Winter 2022 STAT 371 Applied Linear Models and Process Improvement for Business
Fall 2021 STAT 330 Mathematical Statistics
Winter 2021 STAT 330 Mathematical Statistics
STAT 331 Applied Linear Models
Fall 2020 STAT 331 Applied Linear Models
STAT 371 Applied Linear Models and Process Improvement for Business
Spring 2020 STAT 230 Probability
STAT 331 Applied Linear Models
Winter 2020 STAT 230 Probability
Fall 2019 STAT 202 Introductory Statistics for Scientists
STAT 371 Applied Linear Models and Process Improvement for Business
Winter 2018 STATS 7 Basic Statistics
Fall 2018 STATS 67 Introduction to Probability and Statistics for Computer Science
Spring 2018 STATS 67 Introduction to Probability and Statistics for Computer Science