Professor University of Toronto |
Vector Institute for Artificial Intelligence
Jimmy Ba is a renowned Assistant Professor of Computer Science at the University of Toronto, where he joined in 2018. He is a prolific researcher making significant contributions to machine learning and artificial intelligence. His research is primarily focused on developing innovative learning algorithms for neural networks. He is also interested in exploring topics related to computational cognitive science, statistical learning theory, computational biology, and reinforcement learning.
Jimmy Ba's educational journey began at the University of Toronto, where he earned a Bachelor of Applied Science degree in Electrical and Computer Engineering in 2011. He pursued his Master of Applied Science in Electrical and Computer Engineering from the same institution and graduated in 2014. Later, he completed his Doctor of Philosophy in Electrical and Computer Engineering in 2018.
Jimmy Ba has been awarded numerous fellowships and scholarships that recognize his academic excellence and research contributions throughout his academic career. He was a recipient of the prestigious Facebook Graduate Student Fellowship from 2016 to 2018, awarded to outstanding doctoral students working in artificial intelligence. In addition, he was a Massey College Junior Fellow from 2013 to 2017. Furthermore, he has been a Rogers Scholar in the Department of Electrical and Computer Engineering since 2011. He has received several other awards, including the Electrical and Computer Engineering Outstanding Student Award (2009-2011) and the University of Toronto Excellent Award in Natural Science and Engineering (2009-2010). Moreover, he received the College of Physics and Engineering Science Dean's Scholarship in 2007-2008.
Apart from his academic achievements, Jimmy Ba has also been recognized for his exceptional performance in the Canadian Euclid Mathematics Competition and was awarded a Special Award in 2007.