Teaching

Current Teaching

• Fall 2024: MATH 4305: Topics in Linear Algebra, Georgia Tech.

Past Teaching

• STAT 515: Introduction to Statistics I, Fall, 2023, UMass Amherst.

• MATH 690STA: Math Theory of Machine Learning Part II, Spring, 2023, UMass Amherst.

• MATH 697MA: Math Theory of Machine Learning Part I, Fall, 2022, UMass Amherst.

• MATH 523H: Introduction to Modern Analysis I, Fall, 2022, UMass Amherst.

• MATH 524: Introduction to Modern Analysis II, Spring, 2022, UMass Amherst.

• MATH 523H: Introduction to Modern Analysis I, Fall, 2021, UMass Amherst.

• MATH 534H: Introduction to Partial Differential Equations, Spring, 2021, UMass Amherst.

• STAT 515.02: Introduction to Statistics I, Fall, 2020, UMass Amherst.

• Math 356: Elementary Differential Equations, Fall, 2019, Duke University.

• Math 356: Elementary Differential Equations, Spring, 2019, Duke University.

• Math 356: Elementary Differential Equations, Fall, 2018, Duke University.

• (TA) MATH 151A: Applied Numerical Methods, Spring, 2017, UCLA.

• (TA) MATH 134: Linear and Nonlinear Systems of Differential Equations, Fall, 2016, UCLA

• (TA) MATH 191: Numerical Linear Algebra for Data Analysis, Winter, 2016, UCLA.

• (TA) MATH 164: Optimization, Fall, 2015, UCLA

• (TA) MATH 151A: Applied Numerical Methods, Fall, 2015, UCLA

• (TA) MATH 33B: Differential Equations, Spring, 2015, UCLA

• (TA) MATH 61: Discrete Structures, Spring, 2015, UCLA

• (TA) MATH 32A: Calculus of Several Variables, Winter, 2015, UCLA

• (TA) MATH 31B: Integration and Infite Series, Fall, 2014, UCLA

• (TA) MATH 31A: Differential and Integral Calculus, Winter, 2014, UCLA