A fun and vibrant group we like to call ourselves CAMIL:
the
Computational
Astrophysics and
Machine
Intelligence
Lab
Research focus: Real-time anomaly detection for astrophysical transients
Research focus: Anomaly detection in radio spectrogram data
Project title: Enabling scientific discovery in radio data with machine learning
Project title: Synergies between optical and radio data
Project title: Detecting Anomalous Transients in MeerTRAP Data
Project title: Unsupervised machine learning applied to radio data
Project title: Anomaly Detection With Machine Learning In Astronomical Images
Graduated: April 2022
Project title: Application of Anomaly Detection Techniques to Astrophysical Transients
Graduated: April 2022