Foundation models for M/EEG
A hands-on comparison of classical EEG decoding and pretrained foundation models on the same motor-imagery data, from frozen representations to fine-tuning.
HAM-za ab-del-HE-di he/him
Building things at the intersection of bits 🤖, brains 🧠, and Open-Source 💻.
I study how the human brain transforms changing sensory evidence into decisions and actions. With Prof. Karim Jerbi, I use MEG/EEG and computational modeling to follow neural dynamics. I'm also interested in how we can represent brain signals—from low-dimensional trajectories to artificial neural networks and foundation models. At CHU Sainte-Justine, I collaborate on pediatric clinical EEG research, including questions about ADHD and epilepsy.
A fan of open & accessible science, and building shareable tools to lower research barriers. Working to foster fairness and equity within the scientific community.
Originally from Sfax 🇹🇳, now based in Tiohtià:ke / Montréal 🇨🇦. More about my path.
Teaching is central to my work. I create hands-on courses, share analysis tools, and mentor research projects.
A hands-on comparison of classical EEG decoding and pretrained foundation models on the same motor-imagery data, from frozen representations to fine-tuning.
A practical introduction for new lab members, covering Git, Python, MNE-Python, Alliance Canada computing, machine learning, and source estimation.
Selected work on human neuroscience, computational methods, and open-source tools.
CHU Sainte-Justine
Jan 2025–Present
Research Collaborator
Le Centre hospitalier universitaire Sainte-Justine
Collaborating with Dr. Alexander G. Weil and Dr. Aristides Hadjinicolaou on clinical EEG research.
Abundant Intelligences
2024–Present
AI Lab Member / Research Contributor
Abundant Intelligences
Abundant Intelligences; part-time since March 2026.
Université de Montréal
Sep 2024–Present
PhD in Biomedical Engineering
Université de Montréal
Supervisor: Prof. Karim Jerbi. Research affiliations: CoCo Lab and Mila.
Sep 2022–Aug 2024
MSc in Computer Science — Artificial Intelligence
Université de Montréal
Supervisor: Prof. Karim Jerbi; co-supervisor: Prof. Shahab Bakhtiari. Research affiliations: CoCo Lab and Mila.
CoCo Lab · Mila
Sep 2024–Present
Graduate Research Assistant
MILA - Quebec Artificial Intelligence institute
Cognitive & Computational Neuroscience Lab (CoCo Lab) and Mila; supervisor: Prof. Karim Jerbi.
SUP’COM, Tunisia
Sep 2018–Oct 2021
Engineering Diploma in Telecommunications — Smart Imaging Applications
Higher School of Communication of Tunis
University of Carthage — Higher School of Communication of Tunis (SUP'COM).
Connected questions about brains and behavior, explored through shared methods and open software.
When evidence changes, how do we revise a choice—and when do we stop?
Read the research overviewFrom model representations to decoding benchmarks, I ask what brain-signal methods learn and what transfers.
Read the research overviewI bring EEG features and foundation-model representations together to study pediatric clinical questions.
Read the research overviewI build and contribute to tools that make brain-signal methods easier to inspect, reuse, and share.
Artifact suppression and signal denoising for EEG and MEG, with NumPy and MNE-Python integration.
Role: Co-Creator & Core Maintainer
See MNE-Denoise on SoftwareModular pipelines for brain-signal descriptors, decoding, and experiment reporting.
Role: Creator & Maintainer
See CoCo-PiPe on SoftwareConnects brain coordinates and atlas regions with anatomical labels and related neuroimaging studies.
Role: Creator & Maintainer
See Coord2Region on Software