Teaching

Teaching

This page features a list of classes I have taught, including materials for classes I organized. For materials from other classes, please reach out to the respective course organiser.

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Current Teaching

• Lecturer in Statistics
  School of Mathematics · University of Bristol · Bristol, England, United Kingdom
  

  Since 2024, I have held the position of Lecturer in Statistics at the School of Mathematics, University of Bristol. In this role, I both conduct research and teach on the undergraduate Mathematics and Data Science courses. I have also supervised a number of students' BSc project reports and MSc dissertations. Below is a list of courses I have been involved in to date.

  • MATH30028: Statistical Machine Learning 2025/26. Role: Lecturer, creating material.
  • SCIF10002: Introduction to Coding and Data Analysis 2025/26. Role: Lecturer, creating material (first 5 weeks).
  • MATHM2204/MATHM2200: Masters Project 2025/26. Role: Supervisor.
  • MATH30009: Third Year Group Project 2025/26. Role: Supervisor.
  • MATH32200: Third Year Project 2025/26. Role: Supervisor.
  • MATH10013: Probability and Statistics 2025/26. Role: Tutor.
  • MATH1009: Mathematical Investigations 2025/26. Role: Tutor.
  • MATH30028: Statistical Machine Learning 2024/25. Role: Lecturer, creating material.
  • SCIF10002: Introduction to Coding and Data Analysis 2024/25. Role: Lecturer.

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Previous Teaching

• Graduate Teaching for Health and Data Sciences CDT programme
  Big Data Institute · University of Oxford · Oxford, England, United Kingdom
  

  From 2020 to 2024, I taught on the Health and Data Sciences CDT programme at the Big Data Institute, University of Oxford. In this role, I organized and ran the 'Introduction to Python' and 'Imaging with Nilearn' intensive crash courses, mentored small teams of students in statistical analysis on the 'Data Challenge' course, gave the introductory fMRI lectures, and delivered 'Computational Statistics' and 'Modern Statistical Methods' courses. A full list is given below, with material provided for the courses I organized.

  • Introduction to Python 2024. Role: Course Organizer and Tutor. [Course Material]
  • Introduction to Multiple Comparisons 2023. Role: Lecturer. [Lectures]
  • Introduction to fMRI Statistics 2023. Role: Lecturer. [Lectures]
  • Introduction to Magnetic Resonance Imaging 2023. Role: Lecturer. [Lectures]
  • Imaging with Nilearn 2023. Role: Course Organizer and Tutor. [Course Material]
  • Introduction to Python 2023. Role: Course Organizer and Tutor. [Course Material]
  • Imaging with Nilearn 2022. Role: Course Organizer and Tutor. [Course Material]
  • Introduction to Python 2022. Role: Course Organizer and Tutor. [Course Material]
  • Data Challenge 2022. Role: Statistics Mentor.
  • Imaging with Nilearn 2021. Role: Course Organizer and Tutor. [Course Material]
  • Introduction to Python 2021. Role: Course Organizer and Tutor. [Course Material]
  • Modern Statistical Methods 2021. Role: Assistant Tutor.
  • Data Challenge 2020. Role: Statistics Mentor.
  • Introduction to Python 2020. Role: Course Organizer and Tutor. [Course Material]
  • Computational Statistics 2020. Role: Assistant Tutor.


• OHBM 2023: Beyond Blobology Educational Course
  Organisation for Human Brain Mapping (OHBM) 2023 · Montréal, Canada
  

  As part of a collective effort, I helped organize and deliver practical sessions for the 'Beyond Blobology' educational course at the Organisation for Human Brain Mapping (OHBM) 2023 conference. I delivered the final talk of the day, on confidence regions for fMRI analysis, which included both a physical presentation and an interactive online practical for remote audiences to follow along.

  • Spatial inference via confidence sets. Role: Lecturer. [Course Materials]


• Graduate Teaching for Interdisciplinary Bioscience CDT programme
  Doctoral Training Centre · University of Oxford · Oxford, England, United Kingdom
  

  Since 2023, I have lead the 'Introduction to Machine Learning' and 'Statistical Methods' classes for the Interdisciplinary Bioscience CDT programme. Specifically, I design the curriculum for these short, intensive modules, prepare the course material and deliver the practicals and lectures.

  • Introduction to Machine Learning 2023. Role: Course Organizer and Tutor. [Lectures] [Practicals]
  • Statistical Methods 2023. Role: Course Organizer and Tutor. [Lectures] [Practicals]


• Tutoring Assistant for Interdisciplinary Bioscience CDT programme
  Doctoral Training Centre · University of Oxford · Oxford, England, United Kingdom
  

  Between 2019 and 2021, I regularly assisted on the Interdisciplinary Bioscience CDT programme for the Doctoral Training Center, University of Oxford. The classes were typically a couple of days long and served as introductory courses in which students learnt how to work with CNN's and regression modelling in R. Below is a list of classes I assisted on.

  • Statistics in Python 2021. Role: Assistant Tutor.
  • Machine Learning 2021. Role: Assistant Tutor.
  • Modern Statistical Methods 2020. Role: Assistant Tutor.
  • Machine Learning 2019. Role: Assistant Tutor.
  • Modern Statistical Methods 2019. Role: Assistant Tutor.