John Heisey is an Assistant Director of Machine Learning at EY with a decade of experience applying ML and computational finance expertise to enterprise client solutions. He combines an Honours BSc in Physics and Mathematics from the University of Toronto with an MSc in Computational/Mathematical Finance from McMaster, blending rigorous quantitative foundations with hands-on model development and deployment. At EY he progressed from supervising associate to senior associate and now lead, delivering AI initiatives across the Client Technology Artificial Intelligence group. Comfortable bridging research and production, he brings practical experience teaching and mentoring in academic settings and translating complex models into auditable, business-focused outcomes. An analytical thinker with a health-records background early in his career, he has a nuanced appreciation for data quality and compliance in regulated domains.
10 years of coding experience
6 years of employment as a software developer
Master of Science Computational/Mathematical Finance, Master of Science Computational/Mathematical Finance at McMaster University
Honours BSc Physics and Mathematics, Honours BSc Physics and Mathematics at University of Toronto
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