Here is a selected list of graduate-level classes I have completed that are relevant to my research:

Statistics @UCLA

• STATS 200A Applied Probability with Prof. Guido Montúfar

• STATS 200B Theoretical Statistics with Prof. Arash A. Amini

• STATS 200C High Dimensional Statistics with Prof. Arash A. Amini

• STATS 201A Research Design, Sampling, and Analysis with Prof. Hongquan Xu

• STATS 202A Statistics Programming with Prof. Yingnian Wu

• STATS 202B Matrix Algebra and Optimization with Prof. Oscar Hernan Madrid Padilla

• STATS 221 Time-Series Analysis with Prof. Rick Schoenberg

• STATS 231B Methods of Machine Learning with Prof. Yingnian Wu

• STATS 231C Theories of Machine Learning with Prof. Guido Montúfar

Mathematics @ SUNY, Stony Brook

• MAT 530 - Topology, Geometry with Prof. Michael Anderson

• MAT 531 - Topology, Geometry II with A Prof. Marcus Khuri

• MAT 532 - Real Analysis I with Prof. Raanan Schul

• MAT 534 - Algebra I with Prof. Robert Lazasfeld

• MAT 536 - Complex Analysis I with Prof. Samuel Grushevsky

• MAT 541 - Algebraic Topology I with Prof. Mark McLean

• MAT 545 - Complex Geometry with Prof. Dror Varolin

• MAT 568 - Differential Geometry I with Prof. H. Blaine Lawson, Jr.

Computer Science or EE @UCLA

• EE C247 Neural Network and Deep Learning with Prof. Jonathan Kao