Michael Toner has a restless drive to streamline and improve data analysis through AI automation
When Michael Toner completed his Screen Arts and Cultures degree at the University of Michigan, he didn’t anticipate that every job he would get would end up being about data.
The Los Angeles native says, “Whether it was ingesting footage for reality TV, mapping demographics for the city, or managing financial accounts at LA Metro, I kept finding myself automating the work and eventually realized that was the part I actually loved.”
He set out to identify a Master’s program that would let him focus on the intersection of business and data. A factor he had to consider was that he did not have a traditional STEM background, something many programs were looking for.
The Sobey Master of Business Analytics (MBAN) program was the right fit for Michael.
“Saint Mary's stood out in a narrow field. Only a handful of universities offer an MBAN program — most institutions go the MBA or Master of Data Science route,” says Michael. He plans to pursue a career in financial automation. He notes, “Financial data is unusually clean and structured compared to most domains, which means someone with the right skills can move fast and have real impact. And the demand is everywhere. Every company has a finance function.”
Testing his mettle
During the program, Michael has enjoyed competition opportunities to explore his enhanced skillset with coding and AI, developing promising innovative solutions for long-term intractable problems like food insecurity and emergency department wait times.
“At RBC Hubhacks, my team built an AI-powered financial engineering solution for food insecurity in Nova Scotia. We did well enough that we were invited to present to Halifax Partnership and then to Feed Nova Scotia directly. At CGI Datajam, we placed third out of 30 teams with an AI screening tool that cut emergency department wait times by roughly two hours per patient.”
Bringing automation to research insights
In January 2026, professor Chantal Hervieux hired Toner to work with the Centre for Leadership Excellence as a research assistant. CLE had built a relationship with a company called TrendAI, which was looking for background and industry research. TrendAI is an AI-powered demand planning and supply chain tool aimed at small to medium fashion retailers in Canada. It was founded by longtime friends, one with a background in textile manufacturing, the other in software-as-a-service.
Michael describes his research assistant role this way: “I ran background research on the Canadian fashion industry to identify TrendAI's best point of entry, surveyed small and medium enterprises, and from that built the product specifications, business model, development roadmap, and pathway to profitability.”
The survey was challenging. Response rates were so low, Michael needed thousands of contacts to reach statistical significance. When databases available through the library were insufficient, he created a solution: “I wrote Python to pull contacts from the Google Maps API and ended up with about 6,500 emails. The takeaway I'll carry forward is to think about response rates and outreach scale upfront, and to reach for technical solutions earlier rather than grinding manually. Automating outreach was the only way the research worked at all.”
A glimpse of the future
High school students participated in SMU’s AI co-op
Michael shares that there was a surprise for him in the research. “I interviewed three Canadian business owners running operations out of their garages with fewer than five employees. Twenty years ago, that same output would have required a hundred people. The headline finding from the surveys was that AI is acting as an equalizing force for small businesses, not a threat — and these three were proof. That's the future I want to help build.”
He is already working on building the future – last winter, he was one of the MBAN students who taught a cohort of high school co-op students about AI. Michael is currently doing an internship with JD Irving in Saint John while completing his degree. He will graduate next winter.