I am a first-year PhD student in Biomedical Engineering at the Faculty of Medicine, Université de Montréal, currently conducting research at MILA (Quebec AI Institute) and the Cognitive and Computational Neuroscience Lab under the supervision of Dr. Karim Jerbi. 🎓 I research the intersection of artificial 🤖 and biological 🧠 neural networks, with a particular interest in vision, decision-making, and brain disorders.
Core Focus Areas:
I am deeply committed to contributing to society by focusing on ethics, equity, diversity, and inclusion in science. 🧑🏫 I actively participate in outreach, including the Pathfinders in AI summer school for Indigenous communities and the Arabs in Neuroscience Summer School. I raise awareness about the socio-environmental risks and potential dangers of the scientific tools we develop🌍💡.
Commitment to Equity & Inclusion
Tiohtià:ke/Montréal is on unceded Indigenous lands. I recognize the Kanien'kehá:ka Nation as the custodians of the lands and waters on which I live and work. For the few years I lived in Montréal, I have come to embrace it as my home and am learning about the rich history of the land and the peoples who have lived here for thousands of years. I extend my deep gratitude to them, celebrate the beauty and diversity of this land, and reaffirm my commitment to truth and reconciliation.
CHU Sainte-Justine Research Center
Université de Montréal (UdeM)
Cognitive & Computational Neuroscience Lab
Ongoing research collaboration at Quebec AI Institute
Université de Montréal & MILA
Higher School of Communication of Tunis (SUPCOM)
My fascination with Neuro-AI stems from the incredible synergy between artificial and biological neural networks. By observing how our brains process information, we can build more robust and transparent AI systems. In turn, these AI models act as experimental platforms to test hypotheses about the brain's internal mechanisms.
I am currently building large-scale analysis pipelines for neuroimaging datasets to better understand ADHD and Epilepsy through the lens of AI and computational modeling. Concurrently, I'm investigating how neural complexity relates to choice behavior and cognitive traits.
My journey started in mathematics and telecommunications engineering at SUPCOM in Tunisia. This ultimately paved the way for my current PhD research in Biomedical Engineering, where I fully integrate computational methods with cognitive neuroscience.
I firmly believe that science belongs to everyone. I am actively involved in organizing reading groups on the ethical implications and misuse of AI, specifically focusing on its military applications.
Open-source tools lower the barrier to entry for impactful research. I actively contribute to building easily accessible, shareable pipelines for the neuroimaging community.
Failures and rejections are often seen as a negative aspect of life. However, I see them as an essential part of the learning process—they are the stepping stones that forge resilience.