Students currently working with me:

 

Grant Stevens
Interactive AI CDT PhD student (Computer science)

Grant is exploring
active learning applications in astronomy.

 
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Matt Selwood
AIMLAC CDT PhD student

Matt is studying the impact of AGN in galaxy evolution, using statistics and machine-learning methods.

 

Maxime Roybens

Computer Science PhD student

As a side project, Maxime is developing a method to speed up costly scientific computations leveraging machine-learning methods.

 

Students that have worked with me in the past:

 
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Ben Rouse
Master’s by research

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

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

 
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Crispin logan

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