معرفی
Chantal D. Larose is an Associate Professor in the Department of Mathematical Sciences at Eastern Connecticut State University. She specializes in data science, predictive analytics, and handling missing data through advanced statistical methods. Her work bridges theoretical research with practical applications in education and public health.
- Ph.D. in Statistics, University of Connecticut, Storrs
- Co-authored multiple textbooks with her father, Daniel T. Larose
Dr. Larose’s research focuses on learning analytics, missing data analysis, and predictive modeling. Her work often intersects with data science and computational tools like R programming. She actively explores how incomplete data impacts uncertainty metrics and educational outcomes.
Her recent publications highlight interdisciplinary trends in statistics and data science, including applications in educational data mining, decision trees, and statistical inference. These works span collaborations with experts like Dipak Dey and Ofer Harel.
Scientific Awards:
- 2014 Student Research Competition award from the Applied Public Health Statistics section of the American Public Health Association
Dr. Larose teaches statistics, data science, and sports statistics courses, emphasizing accessibility for both math-proficient and math-phobic students. She has co-authored textbooks and contributed to pedagogical resources for STEM education.
