Teaching
I am a mathematics professor with experience teaching college mathematics, applied data science, machine learning, AP mathematics, and online technical courses. My teaching emphasizes clarity, accessibility, kindness, structured practice, and helping students develop confidence with challenging quantitative material.
Teaching Areas
College Mathematics
- College Algebra
- Calculus I
- Calculus II
- Discrete Mathematics
- Introduction to Differential Equations
Statistics, Data Science, and AI
- Data Science
- Machine Learning Foundations
- Python for Data Science
- Exploratory Data Analysis
- Machine Learning
Advanced High School and International Instruction
- AP Calculus AB
- AP Calculus BC
- AP Statistics
Curriculum and Course Development
- Designed and taught machine learning foundations material
- Developed data science and machine learning projects
- Created mathematics assessments, solution sets, and instructional materials
- Supported AI and data science curriculum development
Rose State College Courses
MATH 1513 College Algebra
Institution: Rose State College
Terms: Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026
Taught in both in-person and online formats. Course work emphasizes algebraic reasoning, functions, equations, graphing, modeling, and preparation for future quantitative coursework.
MATH 1914 Differential and Integral Calculus I
Institution: Rose State College
Terms: Fall 2023, Spring 2024, Summer 2024, Fall 2024
Taught limits, derivatives, applications of differentiation, integrals, and foundational concepts for continued study in calculus and applied mathematics.
MATH 2924 Calculus II
Institution: Rose State College
Terms: Summer 2024, Fall 2024, Summer 2025, Fall 2025, Spring 2026
Taught integration techniques, applications of integration, sequences, series, convergence, and related topics requiring sustained symbolic reasoning and structured problem solving.
MATH 2103 Discrete Mathematics
Institution: Rose State College
Terms: Fall 2023, Fall 2024, Spring 2025, Summer 2025, Fall 2025, Spring 2026
Taught logic, sets, functions, relations, proof methods, counting, algorithms, number theory, recurrence, graph theory, and foundational mathematical reasoning.
MATH 2973 Introduction to Differential Equations
Institution: Rose State College
Terms: Spring 2024, Spring 2025, Spring 2026
Taught first-order equations, second-order linear equations, Laplace transforms, using matrices to solve systems, modeling applications, and qualitative interpretation of differential equation behavior.
MATH 2213 Data Science
Institution: Rose State College
Terms: Spring 2024, Spring 2025
Taught introductory data science concepts, including data cleaning, exploratory analysis, visualization, building and evaluating models, communicating results and deployment.
AIML 1013 Machine Learning Foundations
Institution: Rose State College
Terms: Fall 2025
Taught foundational machine learning concepts with emphasis on applied modeling, data preparation, model interpretation, and creating end to end ml applications that are deployed.
Additional Teaching and Training Experience
AP Calculus AB, AP Calculus BC, and AP Statistics
Institution: American Straight A Academy
Taught accelerated AP mathematics and statistics courses remotely to international students, emphasizing conceptual clarity, exam preparation, and structured problem solving.
Python for Data Science, Exploratory Data Analysis, and Machine Learning
Institution: Birchwood University
Taught applied data science and machine learning topics including Python workflows, exploratory analysis, modeling, and practical implementation.
Teaching Philosophy
My teaching philosophy is grounded in a human-centered, kindness-first approach. I believe students learn best when they feel respected, supported, and capable of growth. Mathematics, statistics, data science, and machine learning can be intimidating subjects, so I try to make difficult ideas accessible without removing the rigor.
I do not believe the purpose of mathematics education is to “weed people out.” I believe in meeting students where they are, identifying the gaps that are preventing progress, and helping them build confidence through clear explanations, structured practice, and consistent feedback.
I value a growth mindset in the classroom. Many students arrive with anxiety, uneven preparation, or past experiences that made them believe they are not “math people.” My role is to help students see that quantitative thinking can be developed through patience, practice, good habits, and persistence.
My approach combines high expectations with high support. I want students to develop technical skill, mathematical maturity, independence, and disciplined problem-solving habits, but I also believe that rigor should be paired with compassion, clarity, and accessibility.
Whether I am teaching college algebra, calculus, discrete mathematics, statistics, data science, or machine learning, my goal is to help students understand both the structure of the ideas and their practical usefulness. I want students to leave my courses with stronger reasoning skills, more confidence, and a greater belief in their ability to learn difficult things.