Future graduate students

The effects of climate change are becoming more and more apparent, increasingly in the unpredictability of the weather, thus raising the stakes for weather forecasters. A major concern involves the scale that the weather models run, representing wind, temperature, and other quantities on a grid of points. Professor Michael Waite explains that the spacing of the points and low photo resolution makes it consistently difficult to see the small details.  

At the Cheriton School of Computer Science, researchers are using unsupervised machine learning to determine taxonomic relationships between organisms. 

Lila Kari, a professor of computer science, along with her PhD students Pablo Millán Arias and Fatemeh Alipour and her colleague Professor Kathleen Hill at Western University’s Department of Biology pioneered this new method, titled Deep Learning for Unsupervised Clustering of DNA Sequences, or DeLUCS for short.