Education
Master of Science in Statistics, University of Toronto;
2025.06
Completed Courses: Graduate Probability Theory, Mathematical Statistics I & II, Advanced Computational Statistics II; Deep Leaning Theory; Probabilistic Machine Learning; etc.
Overall GPA: 4.0/4.0; all A+
Honors Bachelor of Science in Statistics, University of Toronto;
2024.06
Completed Courses: Multivariate Analysis(100); Probability and Stochastic Processes I&II(100 & 97); Categorical Data Analysis(100); Partial Differential Equations(99); Statistical Inference(A+); Survival Analysis(A+), Time Series Analysis(A+); etc.
Last-Two Year GPA: 4.0/4.0
Summer Research Programme, LKS Faculty of Medicine – University of Hong Kong
Summer 2025; 82 out of 1800 global applicants selected
Supervisors: Ben Cowling and Tim Tsang
High School Diploma, Hangzhou Foreign Languages School
2020.06
Teaching Experiences
I have being a teaching assistant for the following statistics courses at the Department of Computer and Mathematical Sciences, UTSc, and the Department of Statistical Sciences, UTSg.
- STA457/2202: Time Series Analysis(Cross-graduate listed): Fall 2024
- STA302: Data Analysis I(Regression Analysis): Winter 2025
- Center for Teaching and Learning(Resiponsible for all statistics courses offered at UTSc): Fall 2024 – Winter 2025
- STAD70: Statistics and Finance II(Computational Finance): Winter 2025
- STAD37: Multivariate Analysis: Fall 2024
- STAC63: Stochastic Processes: Winter 2025
- STAC53: Applied Data Collection: Fall 2023
- STAC51: Categorical Data Analysis: Fall 2023; Winter 2024; Winter 2025
- STAB57: Introduction to Statistical Theory: Fall 2023; Winter 2024; Fall 2024; Winter 2025
- STAB22: Statistics I: Winter 2023
I held office hours, led tutorials, and graded the assignments/exams for students. I also created a solution manual for statistics major students based on the exercises assigned in STAB57 from the textbook Mathematical Statistics and Data Analysis by John Rice. You can find it via SOLUTION.