Anmar Khadra

Anmar Khadra is a Full Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research integrates mathematical and computational approaches to study complex biological systems across neuroscience, immunology, and cell biology, with a strong emphasis on developing predictive models that bridge multiple scales of biological organization.

Dr. Khadra's research focuses on the interface of complex systems, nonlinear and stochastic dynamics, biophysics, numerical computations, and artificial intelligence. His work employs multiscale complex systems and computational AI-based models to study cellular and network dynamics in various physiological systems. Key research areas include:

• Neural rhythms and ion channel regulation of neural excitability
• System-level neural responses during rest and upon receiving stimuli
• Spontaneous and evoked calcium responses in neuronal and other cellular systems
• T cell activation mechanisms by pMHC-coated nanoparticles
• Cellular migration patterns and protein network regulation

His recent publications (2024-2025) demonstrate a sophisticated integration of biophysical modeling with experimental validation across multiple physiological domains. The research spans from molecular-level investigations of ion channels to system-level analyses of neural populations and immune responses. A notable trend is the development of computational tools like ElecFeX for electrophysiological data analysis, alongside theoretical frameworks for understanding complex biological phenomena such as the sensitivity-specificity trade-offs in T cell responses and neural coding mechanisms.

Dr. Khadra leads the Khadra Lab, which develops computational models that closely adhere to physiological properties of biological systems. These models bridge multiscale components and predict emergent behavior, generating testable predictions that guide experimental work conducted by collaborators. His research has significant implications for understanding fundamental biological processes as well as potential applications in neurological disorders, immune-related conditions, and cellular dysfunction.