# Never Stop Learning.

### I am interested in employing culturally sustaining pedagogy and research-based assessment methods as a professor and welcome all feedback on my teaching.

## Spring 2021 Courses

### Math 106 - Applied Linear Statistical Models

### Math 123 - Mathematical Modeling

### Math 152 - Linear Algebra

For all course content, please refer to the Canvas website.

*If you can't make it to Student Consultation Hours, set up an appointment. In the meantime, take the music of my office with you.*

## Spring 2021 Student Consultation Hours

Mon., Thurs. 11AM - 1PM, Tue. 5 - 6PM

By appointment

## Teaching Interests

Applied Statistical Methods, Linear Algebra, Data Science, Bioinformatics, Mathematical Biology, Open Education Resources (OER Authoring)

## Previous Courses (Fresno State)

**Mathematical Models with Technology**** (MATH 232)**** **

A technology-assisted study of the mathematics used to model phenomena in statistics, natural science, and engineering.

**Applied Linear Statistical Models (MATH 106)**** **

Topics include simple linear regression, parameter inference, interval estimation, prediction, diagnostics and remedial measures, multiple linear regression, model selection and validation, generalized linear models, ridge regression, LASSO.

**Mathematical Programming & Software (MATH 191T)**** **

Introduction to usage in mathematics and statistics including computer algebra software, interpreted object-oriented high-level programming language, one programming language related to statistics, database management, optimization, and cloud computing.

**Elementary Statistics (MATH 11) **

Illustration of statistical concepts: elementary probability models, sampling, descriptive measures, confidence intervals, testing hypotheses, chi-square, nonparametric methods, regression.

**Exploring Statistics (MATH 137) **

Descriptive and inferential statistics with a focus on applications to mathematics education. Use of technology and activities for student discovery and understanding of data organization, collection, analysis and inference.

### University of California, Merced

**Linear Analysis (Math 141) - Teaching Assistant and Guest Lecturer**

Applied linear analysis of finite dimensional vector spaces. Review of matrix algebra, vector spaces, orthogonality, least-squares approximations, eigenvalue problems, positive definite matrices, singular value decomposition with applications in science and engineering.

**Complex Analysis (Math 122) - Teaching Assistant and Guest Lecturer**

Introduction to complex variables, analytic functions, contour integration and theory of residues. Mappings of the complex plane. Introduction to mathematical analysis.

**Calculus II for Physical Sciences and Engineering (Math 22) - Teaching Assistant**

Analytical and numerical techniques of integration with applications, infinite sequences and series, first order ordinary differential equations.

**Calculus I (Math 11) - Teaching Assistant**

Introduction to differential and integral calculus of functions of one variable, including exponential, logarithmic and trigonometric functions, emphasizing conceptual understanding and applying mathematical concepts to real-world problems (approximation, optimization)

### Robert F. Kennedy High School

**Algebra I - High School Mathematics Teacher**

Introduction to solving systems of equations, graphing, and investigating linear relationships.

**California High School Exit Exam (CAHSEE) - High School Mathematics Teacher**

## Campus Resources

The Learning Center offers tutoring services on campus for a wide variety of subjects.

Additional tutoring is also available on campus.