Instructor of Record
Geometric Toolbox for Data Science (EN.500.111)
Johns Hopkins University | Fall 2024. Designed and taught a survey course in Geometric Methods for High Dimensional Statistics.Master’s Program Probability Review
Johns Hopkins University | Summer 2023, Summer 2024. Designed and led a review series on probability fundamentals for incoming Master’s students.
Teaching Assistantships
Johns Hopkins University
Mathematics of Data Science (EN.553.747)
Fall 2025 | For Professor Mateo Díaz | Ph.D level course on high-dimensional statistics, optimization, and geometry.Elements of Statistical Learning (EN.553.634)
Fall 2024 | For Subas Acharya | Undergraduate/graduate level course on the theory behind statistical learning.High-Dimensional Approximation, Probability, and Statistical Learning (553.738)
Spring 2024 | For Professor Mauro Maggioni | Graduate-level course.Bayesian Statistics (553.632)
Fall 2023 | For Professor Sergey Kushnarev | Undergraduate/graduate level course.Numerical Analysis (553.681)
Spring 2023 | For Professor Mario Micheli | Undergraduate/graduate level course.Dynamical Systems (553.691)
Fall 2022 | For Professor Yannis Kevrekedis | Undergraduate/graduate level course on nonlinear dynamical systems.
Tufts University
Linear Algebra (Math 70)
Summer 2022 | TA and Guest Lecturer for Curtis Heberle | Delivered five guest lectures.Statistics (Math 166)
Spring 2022 | For Professor Bruce Boghosian | Undergraduate introduction to mathematical statistics.Numerical Linear Algebra (Math 126)
Fall 2021 | For Professor Abiy Tassisa | Undergraduate introduction.Introductory Statistics (Math 21)
Summer 2021 | TA and Guest Lecturer for Linda Garant | Delivered four guest lectures.