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Dr. Greg Lee - Machine Learning Expert

Dr. Greg Lee is Lead Data Scientist at Fundmetric in Halifax, where he builds the machine learning systems behind the company’s charitable giving predictions, and an Associate Professor, currently on leave, in the Jodrey School of Computer Science at Acadia University. He is the lead author on the company’s published research. Greg recorded a Season 1 expert insight interview with the Canadian AI Advancement Institute in July 2026.

  • AI expert in machine learning, predictive modelling, automated storytelling, and data science for the charitable sector.
  • Supporting CAIAI in advancing AI literacy and practical machine learning understanding.
  • Academic and professional achievements include, but are not limited to, a doctorate in computing science from the University of Alberta, a Bachelor of Science from St. Francis Xavier University, and lead authorship of peer-reviewed papers on machine learning for charitable giving.
  • Currently serving as Lead Data Scientist at Fundmetric and as an Associate Professor on leave at Acadia University, and previously served as a postdoctoral researcher at Dalhousie University.

About Dr. Greg Lee

Dr. Greg Lee, machine learning expert and computer science instructor at Acadia University

Lee grew up in Stephenville, Newfoundland, took his computer science degree at St. Francis Xavier University, and did his master’s and doctorate at the University of Alberta. His master’s work was on selecting action sets in Markov decision processes. His doctorate went somewhere less expected: an automated storytelling system that chose which background story a sports commentator should tell and when, evaluated by the commentators themselves. That system, SCoReS, drew coverage well beyond the field.

After a postdoctoral fellowship at Dalhousie University working on diabetes, he joined Fundmetric in 2014, where the same framework of choosing what to say, to whom, and when, moved from sports commentary to charitable giving. He holds an associate professorship at Acadia University’s Jodrey School of Computer Science, currently on leave, and supervises graduate students whose theses feed the company’s research programme. He is also a lead author of various peer-reviewed papers, some being published by Springer.

Dr. Greg Lee's Contributions to AI Literacy at CAIAI

Greg's Expert Insights

Lee appears in Season 1 of our recorded expert insight interviews, in a joint recording with Mark Hobbs. He covers his research lineage from reinforcement learning to automated storytelling to charitable prediction; how to choose a prediction target; what data readiness actually requires; public misconceptions about machine learning; who to trust about AI; and why deployment is the beginning of the work, not the end.

  • Digital Insights, Season 1: A recorded interview on 21 July 2026, covering machine learning fundamentals, AI literacy, model deployment, and data readiness.

Excerpts from a Machine Learning AI Expert

“So without understanding what’s going on under the hood, you can come up with any misconception you want. People don’t understand how cars work, we drive them all the time. But what you shouldn’t do is tell people how to build a car if you don’t know how a car works.”

“I think that should be trusted, more so than some random person you find on the internet who has a fancy reel with great video effects. Just because they’re saying something about AI doesn’t make it true.”

“Typically we look at what worked in fundraising before, because it worked for a reason. We don’t come in and say everything you’ve been doing is wrong. We’re just going to look at the data and we’re going to tell you everything that’s right.”

Learn More About Dr. Greg Lee

Lee's Work Beyond CAIAI

  • Professional accomplishments: Built the machine learning systems behind Fundmetric’s charitable giving predictions, and before that created SCoReS, an automated storytelling system for sports commentary that was evaluated by working broadcasters.
  • Publications: Lead author on four peer-reviewed papers on machine learning for charitable giving, three of them published by Springer, and on the AIIDE paper describing SCoReS.
  • Teaching: Associate Professor, currently on leave, in the Jodrey School of Computer Science at Acadia University, where he supervises graduate students on the research feeding his applied work.
  • Advocacy: Argues that AI literacy begins with understanding what is happening under the hood, that people should trust researchers who publish over overconfident strangers on the internet, and that a machine learning practice which dismisses existing expertise before looking at it is a naive one.

Thank You, Greg

We are grateful for Greg’s contributions and value his insights into machine learning, AI development and deployment.

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