Coursework

A list of relevant coursework (* indicates graduate level):

Math 733: (Measure-Theoretic) Probability Theory* (Durrett, Probability: Theory and Examples)
Math 629: Measure Theory (Folland)
Math 521/522: Honors Analysis I & II (Baby Rudin)
Math 632: Stochastic Processes (Durrett, Essentials of Stochastic Processes)
Math 519: ODE Theory (Taylor)
Math 525: Linear Optimization (Bertsimas & Tsitsiklis)
Math 341: Honors Linear Algebra (Axler)
CS 861: Theoretical Foundations of ML* (Website)
CS 761: Mathematical Foundations of ML* (Nowak)
CS 577: Algorithms (CLRS)
CS 537: Operating Systems (OSTEP)
CS 564: Databases (DBMS)