I enjoy teaching and helping others succeed in their learning. I am committed to fostering environments where individuals’ life experiences, circumstances, backgrounds, identities, beliefs, abilities, and both visible and non-visible differences are respected and valued.

California State University, Fullerton

Instructor of record for:

• MATH 107 - Introduction to Computational Linear Algebra, F25

Introduction to linear algebra and computation with applications. Linear algebra: Euclidean spaces, matrices, matrix arithmetic, solving systems of equations, eigenvalues and eigenvectors. Computation: variables, functions, conditionals, loops and plotting.

• MATH 237 - Foundations of Data Science, F25

Topics in data collection, data wrangling, exploratory analysis, visualization, statistical modeling, prediction and classification, and model outcome interpretations; taught through robust computer programming.  Applications include real data from a wide range of fields following reproducible practices.

You can find detailed descriptions for CSUF's mathematics courses here.

University of California, Los Angeles

Instructor of record for:

• Math 164 - Optimization, F23, S24

Linear programming: basic solutions, simplex method, duality theory. Unconstrained optimization, Newton’s method for minimization. Nonlinear programming, optimality conditions for constrained problems.

• Math 135 - Ordinary Differential Equations, S23

Laplace transforms, existence and uniqueness theorems, Fourier series, separation of variable solutions to partial differential equations, Sturm-Liouville theory, etc.

• Math 118 – Mathematical Methods of Data Theory, F22, W23, F23, W24

Introduction to computational methods for data problems with a focus on linear algebra and optimization.

• Math 156 – Machine Learning, F22, W23, S24, F24*2, S25

Introductory course on mathematical models for pattern recognition and machine learning. 

• Math M148 – Experience of Data Science, W25, S25

Capstone course focusing on solving data science problems, understanding theoretical foundations, and developing collaborative and scientific communication skills.

You can find detailed descriptions for UCLA's mathematics courses here.

Colorado State University, Fort Collins

Instructor of record for:

• MATH 255 - Calculus for Biological Scientists I​I, F19 -- F21

Derivatives and integrals of functions of several variables, differential and difference equations, matrices, and applications in biosciences.

• MATH 261 - Calculus for Physical Scientists III,  S19

Vector functions, partial differentiation, cylindrical and spherical coordinates, multiple integrals, line integrals, Green's theorem.

• MATH 155 - Calculus for Biological Scientists I,  S18, F18 

Limits, continuity, differentiation, and integration of elementary functions with applications in the biosciences.

Calculus Center Tutor:

• MATH 161 - Calculus for Physical Scientists II,  F17

Transcendental functions, integration techniques, polar coordinates, sequences, and series, with mathematical software. 

You can find detailed CSU's catalog for mathematics courses here.