CAMIL Group

Logo credit: Pearl Spiller

Our Group

A fun and vibrant group we like to call ourselves CAMIL:

the

Computational

Astrophysics and

Machine

Intelligence

Lab

I encourage interaction at our group meetings, with all students and postdocs being aware of each others projects and able to ask questions and give advice when problems come up. Here PhD student Koketso Mohale explains a concept to the rest of the group: Thendie Motha (PhD), Verlon Etsebeth (PhD), Jade Petersen-Charles (MSc) and visiting student Zade Lentz.

Current postdocs

Bertie Seyffert

Postdoc

Research focus: Real-time anomaly detection for astrophysical transients

Hanwool Koo

Postdoc

Research focus: Anomaly detection in radio spectrogram data

Current students

Verlon Etsebeth

PhD Student

Project title: Enabling scientific discovery in radio data with machine learning

Nomthendeleko Motha

PhD Student

Project title: Synergies between optical and radio data

Koketso Mohale

PhD Student

Project title: Leveraging self-supervised learning for automated astronomical discoveries

Xavier Kiewiets

MSc Student

Project title: Optimising self-supervised machine learning algorithms for radio data

Past students

Jade Petersen-Charles

MSc Student

Project title: Detecting Anomalous Transients in MeerTRAP Data.

Graduated: April 2024

Koketso Mohale

MSc Student

Project title: Unsupervised machine learning applied to radio data.

Graduated: April 2024

Verlon Etsebeth

MSc Student

Project title: Anomaly Detection With Machine Learning In Astronomical Images

Graduated: April 2022

Malema Ramonyai

MSc Student

Project title: Application of Anomaly Detection Techniques to Astrophysical Transients

Graduated: April 2022

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