Amir Reza Peimani

Amir Reza Peimani

Machine Learning & AI Researcher and Educator

I study how machine learning systems fail under subtle changes in data, supervision, evaluation, and interaction, and build methods to make them more reliable.

PhD researcher at the University of Toronto and UHN. My work connects AI reliability, neural engineering, and machine learning education.

Selected research

Publications ↗

State-Complete Replay

When does replay recover the counterfactual world an evaluator intends?

Submitted / under review · 2026

Neural engineering

Multiregion neural recordings, seizure propagation, and machine learning for biological time series.

PhD research ↗

Teaching

Machine learning, deep learning, and data science at the University of Toronto, Seneca, and Northeastern.

Teaching & Education ↗
Writing & mediaKrembil, CLAE, and selected writing ↗