How Anthony Constantinou Became A Highly Regarded Bayesian Network Technology Expert


Anthony Constantinou was born and raised in the Republic of Cyprus. After graduating from secondary school he spent two years as a soldier in the Greek Cypriot National Guard. He then moved to Hertfordshire, England and became a student at the University of Hertfordshire. He earned a computer science degree there in 2008, specializing in artificial intelligence, and a master of science degree in 2009 in artificial intelligence with robotics.

After moving to London, Anthony Constantinou started to study at Queen Mary, University of London, in 2009. Three years later he had completed his dissertation and earned a doctor of philosophy degree in Bayesian networks. These are networks that are used to manage prediction, risk assessment, and decision making. Earning his Ph.D. was fully paid for by the Engineering and Physical Sciences Research Council.

The first company he applied his skill in Bayesian Networks was AgenaRisk. In June 2012, Anthony Constantinou was brought on board this firm as an intern. As a decision scientist, he was tasked with making investment decisions and engaging in strategic planning.

Three months later he was hired on by AgenaRisk as an associate consultant. Remaining in this role for over a year, Constantinou figured out complex risky problems by using Bayesian Network technology. He also helped his customers across the world make improvements to their decision making processes.

Since October 2009, Anthony Constantinou has worked for Queen Mary, University of London. He started out as a teaching assistant and in January 2017 became a lecturer assistant professor. At the same time, he was named as this university’s new head of the Bayesian AI lab. He was recently named as a Turing Fellow as well by the Alan Turing Institute.

One of his favorite things to apply Bayesian network technology to is sports, including the sports betting industry. In May 2017 he released a scientific paper he had written about a model he had designed he called “Dolores”. How this model works is that by observing football matches and applying Bayesian network technology to it, Dolores can predict the outcome of future football matches. He entered Dolores into an international competition and earned 2nd place. Click Here to learn more.


More about Constantinou on