ABOUT
Amir Reza Peimani
Machine Learning & AI Researcher and Educator
I work on LLM post-training, evaluation, weak supervision, interactive agents, and machine learning reliability. My doctoral research at the University of Toronto and University Health Network studies seizure propagation and distributed neural dynamics through multiregion electrophysiology, signal processing, statistics, and machine learning.
I came to this work through mechanical engineering, with an MASc at York University studying zebrafish neurobehavior using microfluidic devices, and a BASc at Isfahan University of Technology. Teaching runs alongside my research, from undergraduate foundations to graduate machine learning.
Education & research
PhD, Biomedical Engineering · University of Toronto · In progress
MASc, Mechanical Engineering · York University · 2017
BASc, Mechanical Engineering · Isfahan University of Technology · 2015
MITACS Accelerate Research Fellow · Neureka.ai & UHN · 2020–2022
Community & leadership
- Co-Founder & President · Mental Wellness Association for International Students
2019–2020 · Supported student mental health and community engagement.
- President · Biomedical Engineering Students’ Association, University of Toronto
2019–2020 · Represented more than 400 biomedical engineering graduate students.
- Vice-President Communication · International Students’ Caucus, University of Toronto
2018–2020 · Helped represent more than 5,500 international graduate students.
- Graduate Student Member · SGS Mental Health Working Group, University of Toronto
2019–2020 · Contributed student perspectives on mental health needs to advise the Dean’s Office.
Tools & methods
- Languages
- Python, SQL, R, C/C++, MATLAB, Unix scripting
- Machine learning
- PyTorch, Hugging Face / Transformers, scikit-learn, TensorFlow / Keras, LoRA, OpenCV, CUDA
- Scientific computing
- NumPy, pandas, SciPy, NetworkX, signal processing, time-series and graph learning, statistical evaluation
- Data & visualization
- Matplotlib, Seaborn, Tableau, Spark / PySpark, Hadoop
- Development
- Git, Docker, Linux, VS Code, LaTeX