People

Majid Mohajerani, PhD, is an Associate Professor at the Douglas Research Centre and McGill University. Previously, he held an Associate Professor position at the Canadian Centre for Behavioural Neuroscience at the University of Lethbridge before joining McGill University. He holds BSc, MSc, and PhD degrees in Electrical Engineering, Biomedical Engineering, and Neuroscience, respectively. Prior to his roles as a CAIP Chair in Healthy Brain Aging and Dementia and later as Bryan Kolb Chair at the University of Lethbridge, he conducted postdoctoral research at the University of British Columbia. His research program remains dedicated to exploring neural dynamics, with a particular focus on sensorimotor integration and memory systems.

Alireza holds an MSc in Civil Structural Engineering, an MSc in Mechanical Engineering, and a PhD in Mechanical Engineering, focusing on applied mathematics in solid mechanics and the analysis of micro- and nanomaterials and structures.

As a postdoctoral fellow in MMLab at McGill University, his current research focuses on the theory of biological and artificial neural networks and deep learning models, using statistical theories of continuum limits to investigate their mechanism and predict their behavior. He is particularly interested in analyzing neural networks’ criticality and performance and the stability of their dynamics within stochastic field theoretic frameworks.

Farzad holds a PhD in Electrical and Computer Engineering from Concordia University, specializing in artificial intelligence and signal processing, along with a Master’s and Bachelor’s degree in Computer Engineering. Currently, he is a postdoctoral researcher at McGill University, where he works on an industry-level project applying AI to real-world challenges. The project focuses on developing a functional model using large language models and deep learning to detect lameness in beef cattle with minimal human intervention. His research interests include artificial intelligence, deep learning, large language models, and computer vision.

Navid is a PhD student at Mohajerani Lab, working on Open Pheno Quest. He holds a bachelor’s degree in computer engineering and a master’s degree in artificial intelligence. Navid specializes in developing computer vision models for neuroscience and has been involved in creating a framework for few-shot automated animal behavior analysis. His interests also extend to social psychology, blending technical expertise with insights into behavior and social dynamics.

Justine completed her BA (Neuroscience specialist) at the University of Toronto and is currently a Ph.D student in Dr. Mohajerani’s Lab. Currently, she is investigating the circuitry involved in tactile stimulation-induced rescue of cognitive decline in a mouse model of Alzheimer’s Disease. Her research aims to uncover how tactile therapies can modulate neural circuits to alleviate cognitive deficits, providing insights that may lead to effective treatments for Alzheimer’s Disease. More broadly, she is dedicated to elucidating the neural mechanisms underlying memory dysfunctions and several neurodegenerative diseases.

Outside the lab, she enjoys hiking, reading books, watching movies and animations.

Ali is a software engineer based in Canada. He got his bachelor’s in Computer Engineering from Ferdowsi University of Mashhad. Then, he came to Canada and pursued a master’s in computational neuroscience from University of Lethbridge. He is currently working as a Machine Learning Engineer at the Hub for Neuroengineering Solutions. He is interested in the intersection of Machine Learning, Computer Graphics, and Computer Vision.