Teaching Assistant

  • Convex Optimization (IEOR PhD's selective) (2017, 2018 Spring), Class Size: 36/33

    • Course Topic: Convex set, Convex funtions, Convex Optimization, Machine Learning, First-order algorithms

    • Course Syllabus [PDF], Instructor: Prof. Donald Goldfarb and Prof. Frank Curtis

    • Overall TA Evaluation: 4.61/5.00

  • Stochastic Model II (IEOR PhD's core) (2019 Spring), Class Size: 18

    • Course Topic: Martingale, Brownian Motion, Stochastic Calculus, Stationary Distribution

    • Course Syllabus [PDF], Instructor: Prof. Ton Dieker

  • Optimization Models and Methods (IEOR Master's corse) (2017 Fall), Class Size: 93

    • Course Topic: Linear Programming (algorithm and theory), Integer Programming, Dynamic Programming

    • Course Syllabus [PDF], Instrcutor: Prof. Yuri Faenza

    • Overall TA Evaluation: 4.58/5.00

  • Stochastic Models (IEOR Master's core) (2018 Fall), Class Size: 165

    • Course Topic: Markov Chain, Renewal Process, Brownian Motion, Simulation

    • Course Syllabus [PDF], Instrcutor: Prof. Karl Sigman

    • Overall TA Evaluation: 4.00/5.00