Summary
Saeid Amiri is a data scientist based in Montreal with a decade of experience applying machine learning and computational statistics to real-world problems. Holding a PhD in Statistics from Uppsala University and a licentiate degree from SLU, he blends deep theoretical expertise with practical data-driven solutions. Since 2020 he has been driving analytical projects at McGill University, turning diverse datasets into actionable insights for researchers and stakeholders. His work sits at the intersection of machine learning, statistics, and computational methods, with a particular strength in translating complex models into interpretable results. Colleagues describe him as someone who bridges rigorous academic training with a pragmatic focus on impact and reproducibility. He is passionate about helping others harness data, often emphasizing statistical rigor alongside modern ML techniques.
10 years of coding experience
Licentiate degree, Licentiate degree at SLU
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Uppsala University