Our world is made up of dots and lines. Networks, or graphs as they are also called, are mathematical objects that quantify how systems interact. From protein networks in living cells, to bitcoin transactions, to keywords in Trump’s tweets, networks reside in every aspect of our lives and nature. Although networks are everywhere, many are invisible. Mathematicians and data scientists are only beginning to reveal these hidden networks and unlock their secrets. Anthony Bonato from Ryerson University will give a guided tour of the modern field of network science, with insights along the way into what makes networks tick.
Anthony Bonato’s research is in Graph Theory and Network Science. He authored over 120 publications and four books with 80 co-authors. Bonato is currently full Professor in the Department of Mathematics at Ryerson University, Editor-in-Chief of the journal Internet Mathematics, and editor of the journal Contributions to Discrete Mathematics. He delivered over 30 invited addresses at international conferences in North America, Europe, Australia, China, and India.
Bonato supervised 40 students and post-doctoral fellows. He taught undergraduate and graduate courses at Ryerson, Dalhousie, Laurier, Mount Allison, Waterloo, the National University of Ireland, and the African Institute for Mathematical Sciences in Cameroon. He served as Chair of the Department of Mathematics at Ryerson 2010-2013 and Associate Dean in the School of Graduate Studies from 2013-2017. Bonato served on the NSERC Discovery Mathematics and Statistics Evaluation Group for four years, and was the Chair for the Pure Mathematics section.
Bonato writes a popular blog on math in pop culture, and his words and writing were published in Salon, The Conversation, Maclean’s, and the National Post.
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