Teaching

Courses Taught (Instructor of Record, UCSB)

• PSTAT 10: Data Science Principles (Undergraduate, Summer 2023) R and SQL programming fundamentals with emphasis on data manipulation and basic statistical methods

Courses Taught (Teaching Assistant, all UCSB)

• PSTAT 220A,B: Advanced Statistical Methods (Graduate, Fall 2023, Winter 2024) GLMs, ANOVA, ANCOVA, experimental design, statistical programming
• PSTAT 194CS: Special Topics in Computational Statistics(Undergraduate, Spring 2024) Monte Carlo methods and sampling
• PSTAT 174/274: Time Series Analysis (Cross-listed Undergraduate / Graduate, Fall 2024, Winter 2025, Spring 2025) Box-Jenkins method, spectral methods, long-memory processes
• PSTAT 160B: Stochastic Processes (Undergraduate, Summer 2022) Continuous time Markov chains, elementary stochastic calculus
• PSTAT 131/231: Machine Learning (Cross-listed Undergraduate / Graduate, Fall 2025) Statistical learning theory and application
• PSTAT 120A,B,C: Mathematical Statistics (Undergraduate, Spring 2022, Fall 2022, Winter 2023, Summer 2024, Summer 2025) Foundations of probability, mathematical statistics, and applied statistical methods
• PSTAT 10: Data Science Principles (Undergraduate, Summer 2022) R and SQL programming fundamentals with emphasis on data retrieval and manipulation
• PSTAT 8: Transition to Data Science, Probability and Statistics (Undergraduate, Spring 2023) First-order logic, set theory, mathematical proofs, and selected topics in probability theory
• PSTAT 5A / 5LS: Understanding Data / Life Sciences Statistics (Undergraduate, Fall 2021, Winter 2022) Introduction to statistics for non-majors

Additional Teaching Experience

• PHYSICS 135A,B,C: General Physics (Northwestern University Academic Support and Learning Peer Tutor, 2018-2020) Mechanics, electricity and magnetism, and waves