Kay C. Wiese

Kay is a Professor in the School of Computing Science at Simon Fraser University, Canada. His research interests are in RNA structure prediction, RNA visualization, CRISPR-Cas sgRNA design and other related applications. He enjoys developing innovative machine learning and optimization techniques for practical applications, but he is also interested in studying and developing new fundamental machine learning approaches. One such problem is developing neural networks that adapt their activation functions based on the underlying task. His lab developed the RnaPredict software for RNA folding, the jViz.RNA package for RNA visualization including pseudoknots, and the EvoDNN software for self-adaptive deep neural networks.