Graduate course, University of California, Los Angeles, Biostatistics Department, 2026
Teaching assistant for Biostat M257 (Statistical Computing) at UCLA. Computational algorithms for research in (bio)statistics, including numerical linear algebra and optimization.
Graduate course, University of California, Los Angeles, Biostatistics Department, 2026
Teaching assistant for Biostat 406 (Applied Multivariate Biostatistics) at UCLA. Use of multiple regression, principal components, factor analysis, discriminant function analysis, logistic regression, and canonical correlation in biomedical data analysis.
Graduate course, University of California, Los Angeles, Biostatistics Department, 2026
Teaching assistant for Biostat 285 (Advanced Topics: Recent Developments) at UCLA. Advanced topics and developments in biostatistics not covered in other courses. Possible topics include time-series analysis, classification procedures, correspondence analysis, etc.
Graduate course, University of California, Los Angeles, Biostatistics Department, 2026
Teaching assistant for Biostat 231 (Statistical Power and Sample Size Methods for Health Research) at UCLA. Sample size and power analysis methods for common study designs, including comparisons of means and proportions, ANOVA, time-to-event data, group sequential trials, linear regression, cluster randomized trials and multilevel data.
Graduate course, University of California, Los Angeles, Biostatistics Department, 2025
Teaching assistant for Biostat 201 at UCLA. This course covers topics in applied regression analysis.
Graduate course, University of California, Los Angeles, Biostatistics Department, 2025
Teaching assistant for Biostat 203A at UCLA. This course covers advanced topics in biostatistics and statistical methods.