Current Members

• Mathew Pham (Mathematics/Economics)
• Allison Ma (Statistics & Data Science)
• Jayden Spurgiasz (Mathematics of Computation)

Student Projects

Ma, A. & Kim, D.S. (2026). Estimation of Nonlinear Factor Analysis Models with Cubic Splines using a Random-Walk Metropolis Stochastic EM Algorithm. Invited poster presented by Allison Ma at StatsFest 2026. Los Angeles, California, United States.

Spurgiasz, J. & Kim, D.S. (2026). Estimating Covariance Structures with Missing Data using Augmented Inverse Probability Weighting. Invited poster presented by Jayden Spurgiasz at StatsFest 2026. Los Angeles, California, United States.

Lu, A. & Kim, D.S. (2026). A Modeling Comparison of Multiple Imputation and Inverse Probability Weighting for Missing Data. Contributed talk presented by Audrey Lu at UCLA Undergraduate Research Week. Los Angeles, California, United States.

Spurgiasz, J. & Kim, D.S. (2026). Doubly-Robust Covariance Estimation with Missing Data. Contributed talk presented by Jayden Spurgiasz at UCLA Undergraduate Research Week. Los Angeles, California, United States.

Lu, A. & Kim, D.S. (2026). A Comparison of Predictive vs. Response Modeling Approaches for Missing Data in Regression Models. Poster presented by Audrey Lu at the UCLA Psychology Undergraduate Research Conference. Los Angeles, California, United States.

Lu, A. & Kim, D.S. (2025). An Inverse Probability Weighting Approach to Missing Data in Regression Models. Contributed talk presented by Audrey Lu at UCLA Undergraduate Research Week. Los Angeles, California, United States.

Lu, A. & Kim, D.S. (2025). An Inverse Probability Weighting Approach to Missing Data in Regression Models. Poster presented by Audrey Lu at the UCLA Psychology Undergraduate Research Conference. Los Angeles, California, United States.

Alumni

• Audrey Lu (B.S., Statistics & Data Science, 2026), placed at Beghou Consulting.