Matthew Scicluna is a recent graduate from the Professional Masters program from the Mila (University of Montreal). Previously, he completed degrees in Statistics and Mathematics from the University of Toronto. He is interested in applying cutting edge deep learning techniques to biological data to improve in-silico medicine. In the past he applied deep learning tools on a variety of data, ranging from Zebrafish locomotion to cell microscopy. He currently is investigating how to interpret the outputs of neural networks, when applied to biological data (as opposed to the much more well understood computer vision and NLP contexts).

Contact : mattcscicluna [at] gmail.com
Address : 5000 Bélanger, Room S-1430