Teaching, undergraduate and master’s

Michaelmas Term 2023

• Machine Learning (Undergrad & MSc)
  Department of Computer Science, University of Oxford

Michaelmas Term 2022

• Bayesian Statistical Probabilistic Programming (Undergrad & MSc)
  Department of Computer Science, University of Oxford

Michaelmas Term 2021

• Machine Learning (Undergrad & MSc), with Phil Blunsom
  Department of Computer Science, University of Oxford

Hilary Term 2021

• Advanced Topics in Machine Learning (Undergrad & MSc), with İsmail İlkan Ceylan
  Department of Computer Science, University of Oxford

Hilary Term 2020

• Advanced Topics in Machine Learning (Undergrad & MSc), with Alejo Nevado-Holgado and Tom Rainforth
  Department of Computer Science, University of Oxford

  Lectures on automatic differentiation (5 & 12 Feb 2020) [Slides 1] [Slides 2]

Teaching, PhD (DPhil)

Michaelmas Term 2023

• Machine Learning (PhD)
  Autonomous Intelligent Machines and Systems (AIMS) CDT, University of Oxford

Michaelmas Term 2022

• Machine Learning (PhD)
  Autonomous Intelligent Machines and Systems (AIMS) CDT, University of Oxford

Michaelmas Term 2021

• Machine Learning (PhD)
  Autonomous Intelligent Machines and Systems (AIMS) CDT, University of Oxford

Michaelmas Term 2020

• Machine Learning (PhD)
  Autonomous Intelligent Machines and Systems (AIMS) CDT, University of Oxford

Tutorials, undergraduate

Tutorials at Jesus College and Department of Computer Science, University of Oxford.

Tutorials are a type of personalized teaching at Oxford, normally with two or three students per course per term.

Michaelmas Term 2023

• Linear Algebra
• Compilers

Trinity Term 2023

• Digital Systems (continued)
• Imperative Programming Part 3
• Introduction to Formal Proof

Michaelmas Term 2022

• Linear Algebra
• Compilers

Trinity Term 2022

• Digital Systems (continued)
• Imperative Programming Part 3
• Introduction to Formal Proof

Hilary Term 2022

• Digital Systems
• Concurrent Programming

Michaelmas Term 2021

• Linear Algebra

Guest lectures

2018

• CS532/539: Topics in Programming Languages: Probabilistic Programming, 4 Sep – 30 Nov 2018, (PhD) (With Frank Wood)
  Department of Computer Science, University of British Columbia, Vancouver, BC, Canada

  Guest lectures on automatic differentiation (27 Sep & 2 Oct 2018)

2017

• CSCS-ICS-DADSI Summer School: Accelerating Data Science with HPC, 4 – 6 Sep 2017
  Swiss National Supercomputing Centre (CSCS), Lugano, Switzerland

  Lecture: Deep Learning and Automatic Differentiation from Theano to PyTorch [Slides] [Exercise] [GitHub repo]

Other

• NASA & ESA Frontier Development Lab, 2018 – Present
  NASA Ames Research Center, SETI Institute, University of Oxford

  Machine learning tutoring of research teams