Richard Garner

Richard Garner is a lecturer at Macquarie University's School of Mathematical and Physical Sciences, Faculty of Science and Engineering. He specializes in teaching mathematics to engineering and computing students in units like MATH2055 and MATH1007, focusing on problem-solving and real-world applications. His teaching philosophy emphasizes authentic mathematical experiences, blending abstract concepts with practical examples, such as connecting multivariable calculus to AI technologies.

• School: School of Mathematical and Physical Sciences
• University: Macquarie University
• Teaching Areas: Mathematics for engineering and computing, convolution, multivariable calculus

Richard won a Student Nominated Award in the 2023 Vice Chancellor’s Learning and Teaching Awards, reflecting his commitment to student-centered education. He prioritizes clarity in course design, using visual tools and accessible materials to enhance learning, and fosters a supportive environment where students feel comfortable asking questions.

Key Teaching Strategies

• Organized iLearn layouts following Macquarie University's standards
• Multiple formats for lecture materials (diagrams, color-coded slides)
• Weekly task clarity and real-world problem framing
• Live worked examples and transparent success criteria

His research spans category theory, computational effects, and homotopy theory, with publications on topics like comodels, monoidal bicategories, and enriched categories. Richard's work bridges abstract mathematics with applications in computer science and logic.

Scientific Awards

• 2023 Vice Chancellor’s Learning and Teaching Award (Student Nominated)

Students praise his ability to make complex concepts intuitive, his enthusiasm for mathematics, and his dedication to explaining the 'why' behind the subject. His teaching design, including time-sensitive banners and structured weekly content, has been highlighted as exemplary.