Matthew Scicluna is a 4th year PhD candidate who studies interpretable machine learning and manifold learning applied to genetics data. He is supervised by Julie Hussin and co-supervised Sébastien Lemieux. He began his undergraduate degree in Biology before switching to Mathematics and Statistics. He had a brief stint as a lecturer as well as working as a machine learning engineer at a silicon valley startup before deciding to pursue a PhD.

As a Phd Student, Matthew has taught in settings ranging from the D3 AI in Genomics program to a guesthouse in Ghana. He ran the Bio+AI reading group at Mila from 2021-2023. Nowadays he can be found at the Institut de Cardiology de Montreal or at the Mila building, most likely trying to figure out why a piece of code isn’t running properly.