UTMIST’s Guest Speaker Series are returning on Tuesday, November 14th and Thursday, November 16th!
We are excited to invite four distinguishing speakers from the machine learning community at the University of Toronto. They will present an overview of the latest research topics ranging from massive data handling & analysis, to the most cutting-edge deep learning techniques. If you would like to get a first-hand coverage on the development in AI/ML, you definitely cannot miss this huge event!
Tuesday, November 14:
“Garbage in, garbage out: Misadventures and cautionary tales in data acquisition, handling, and analytics”
Speaker: Lauren Erdman, PhD student, Department of Computer Science, Computational Biology; Data Science Core Lead, SickKids Hospital
Research focus: Data integration, genome biology, and complex disease.
“Automated analysis of high-content microscopy data with deep learning”
Speaker: Oren Kraus, PhD student (ECE), U of T Probabilistic and Statistical Inference (PSI) Group
Research focus: High-throughput microscopy screens.
Register to attend