Teaching

Courses in SUNY New Paltz

Fall 2022

MAT 341 Applied Mathematics (ODE)

MAT 380 Applied Probability and Statistics

MAT 381 Probability and Statistics I

MAT 252 Calculus 2: Spring 2018
MAT 303 Foundation of Analysis: Fall 2018, Spring 2019
EGG 311 Engineering Statistics: Fall, 2016, Spring 2017
MAT 321 Intermediate Analysis: Spring 2019
MAT 341 Applied Mathematics 1: Fall 2018
MAT 353 Calculus 3: Spring 2017
MAT 359 Ordinary Differential Equations: Fall 2017, Spring 2020
MAT 362 Linear Algebra: Fall 2021
MAT 380 Applied Porbability and Statistics: Fall 2020, Spring 2021, Spring 2022
MAT 381 Probability and Statistics 1: Fall 2016, Spring 2018, Fall 2018, Spring 2019, Spring 2021, Fall 2021
MAT 431 Real Analysis 1 (Measure Theory): Fall 2019, Fall 2021
Mat 483 Actuarial Mathematics: Fall 2017
MAT 493-01 Markov Chains: Spring 2022
MAT 493-01 Mathematical Statistics: Spring 2020
MAT 493-02 Probability Theory for Actuaries: Spring 2018
MAT 493-02 and 541 Complex Analysis: Fall 2019
MAT 493-02 Data Science: Fall 2020
MAT 495 Independent Study; Measure Theory: Spring 2021
MAT 493-03 Seminar Talk Experience: Fall 2020, Spring 2022

Independent Study on Measure Theory (with Kieran Cavanagh), Poster, SUNY New Paltz, Spring 2021
Independent Study on Discrete Time Markov Chains using Python (with Conor O’Riordan), Poster, SUNY New Paltz, Spring 2019
Research in Mathematics about actuarial studies (P exam) with undergraduate students, SUNY New Paltz, Spring 2017