Past:

• Spring 2024: Statistical Foundations of Data Science and Artificial Intelligence II (STA 4365), UCF
• Fall 2023:      Big Data Analytics Methods (STA 4724), UCF
• Spring 2022: Statistical Foundations of Data Science and Artificial Intelligence II (STA 4365), UCF
• Fall 2022:      Big Data Analytics Methods (STA 4724), UCF
• Spring 2022: Introduction to Programming (PIC 10A), UCLA
• Spring 2022: Intermediate Programming (PIC 10B), UCLA
• Winter 2022: Intermediate Programming (PIC 10B), UCLA
• Fall 2021:      Intermediate Programming (PIC 10B), UCLA
• Fall 2021:      Intermediate Programming (PIC 10B), UCLA
• Spring 2021: Intermediate Programming (PIC 10B), UCLA
• Winter 2021: Intermediate Programming (PIC 10B), UCLA
• Fall 2020:      Introduction to Programming (PIC 10A), UCLA
• Spring 2020: Introduction to Programming (PIC 10A), UCLA
• Spring 2020: Intermediate Programming (PIC 10B), UCLA
• Winter 2020: Introduction to Programming (PIC 10A), UCLA
• Winter 2020: Intermediate Programming (PIC 10B), UCLA
• Fall 2019:      Intermediate Programming (PIC 10B), UCLA
• Spring 2019: Introduction to Programming for Internet (PIC 40A), UCLA
• Winter 2019: Introduction to Programming (PIC 10A), UCLA
• Winter 2019: Python with Applications (PIC 16), UCLA
• Fall 2018:      Introduction to Programming (PIC 10A), UCLA

Undergraduate Mentorship:

• Xuyang Tian (UCLA). Graduate school: Duke University.
• Yuchen Luo (HKU). Graduate school: Northwestern University.
• Jiaqi Li (SYSU). Graduate school: UCAS.
• Pengyu Li (UCLA). Graduate school: University of Michigan.
• Allen Zou (UCSD).

REU Mentorship:

1. Summer 2019: LA Homicide Dataset Study, with Los Angeles Police Department (LAPD). Students: Elijah Gross-Sable (UCLA), Jacky Lee (Harvey Mudd), Xia Li (UCLA), Tyler Sam (Harvey Mudd), Nathan Sands (CCNY).


2. Summer 2019: Evaluating effectiveness of the Gang Reduction and Youth Development program with dynamic mode decomposition, with GRYD Foundation. Students: Zehan Chao (UCLA), Zheyuan Cui (UCLA), Avery Edson (UCLA), Yihuan Huang (UCLA), Cesar Guajardo (SMC), Xingjia Wang (UCLA), Zhanyuan Yin (UCLA).

RIPS Mentorship:

1. Summer 2020: Parallel time integration for constrained optimization, with Lawrence Livermore National Laboratory (LLNL). Students: Caroline Hills (Notre Dame), Michael Kielstra (Harvard), Dylan King (Wake Forest), Matthew Torrence (Gettysburg).