Current group:

 

Grant Stevens - EPSRC Doctoral Prize Fellow

Diffusion models applied on AGN detection.


Interactive AI CDT PhD graduate (UOB Computer science, 2024).
During his PhD, Grant explored active learning applications in astronomy [paper, code]

Rhys Shaw - AIMLAC CDT PhD student

Rhys has developed a source detection finder using persistent homology [paper, code], and created an AI helper for STILTS [paper, code]

Teresa Matamoro-Zatarain - AIMLAC CDT PhD student

Multiwavelength studies of AGN, from X-rays to optical and everything in between.

Teresa led the publication of the first Euclid AGN catalog, using the Quick-look release 1 (Q1) data. The paper is featured in the A&A special issue: Euclid Quick Data Release (Q1).

[paper]

 

Previous group members:

 
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Matt Selwood - AIMLAC CDT PhD student

Matt studied the impact of AGN in galaxy evolution, using statistics and multiwavelength datasets.

[Thesis, 2024]

Maxime Robeyns

Computer Science PhD student

As a side project, Maxime developed a method to speed up costly scientific computations leveraging simulation based inference

[ICML 2022]

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Ben Rouse


Master’s by research (2021), current PhD student in Chile.

Ben worked on modelling of spectral energy distributions, compared selection methods and the multi-wavelength properties of AGN.

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Myank Singhal


Master’s by research (2021), currently PhD student in Czechia.

Myank developed a flexible deep neural network ensemble model for star identification.

[Thesis, 2021]

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Crispin logan


After being awarded the ESA research fellowship directly after his PhD, Crispin moved to an industry position.


As a side project during his PhD, Crispin looked into unsupervised learning methods for star, galaxy, and QSO separation using HDBSCAN.
[paper, code]