Supervision
A list of my supervisory experience is below. If you are a student and are interested in doing an MSc or PhD project in an area that aligns with my research area, then please do get in touch and we can have a discussion.
PhD students
I am always interested in speaking to motivated students about the potential to supervise them, please do get in touch.
| Year | Project |
|---|---|
| Sep 2026 - Present | Antonio Baratta (Lead supervisor, 40%) Project: “Moving towards a more personal assessment of exposure to air pollution for cancer patients”. |
| Sep 2026 - Present | Amelia Davies (External supervisor, 10%) Project: “The psychology of outdoor advertising”. |
| Sep 2024 - Present | Lauren Stella (Lead supervisor, 50%) Project: “Combining information from multiple sources to estimate exposures to air pollution”. |
| Sep 2023 - Sep 2025 | Samuel Hyman (Co-supervisor, 50%) Project: “How Particulate Matter Affects Lung Infection and Immune Response”. |
Masters students
Below is a list of Masters projects that I have supervised.
| Year | Project |
|---|---|
| 2026-27 | DATA72000: Extended Research Project. Title: Various topics in “Environmental analytics” Project supervision for 2 students |
| 2025-26 | DATA72000: Extended Research Project. Title: Various topics in “Environmental analytics” Project supervision for 2 students |
| 2023-24 | DATA72000: Extended Research Project. Title: Various topics in “Environmental analytics” Project supervision for 5 students |
| 2022-23 | MTHM044: MMath Project in Statistics. Title: “A comparison of methods to estimate socio-economic well-being in South Africa” Student: Nathan Vince |
| MTHM504J: Applied Data Science and Statistics Project. Title: “Assessing ambient air pollution in Italy” Student: Zareen Tasnim (Awarded Dean’s MSc Project Award) |
|
| 2021-22 | MTHM504: Applied Data Science and Statistics Project. Various topics in “Air pollution and health” Project co-supervision for 14 students. |
| 2020-21 | MTHM504: Applied Data Science and Statistics Project. Title: “Evaluating the performance of two different satellite data sets within a Data Integrated Model of Air Quality” Student: Matt Hopping |
| MTHM504: Applied Data Science and Statistics Project. Title: “Assessing the role of the Concentration-response functions in quantifying the health impacts of air pollution” Student: Wen Jie Lok |