Research

Computational Neurology

I am broadly interested in the emerging field of computational neurology, i.e., in using theoretical, computational, data analysis and mathematical methods to study pathologies in the brain.

Here are links for some of my projects, publications, and for a series of videos that I recently recorded on the topic.

I am particularly interested in a pathological development in injured neurons referred to as Focal Axonal Swellings (FAS). They are present in a staggering number of incurable brain disorders such as:

• Alzheimer's Disease
• Concussions
• Creutzfeldt-Jakob Disease
• HIV Dementia
• Multiple Sclerosis
• Neuromyelitis Optica
• Neuropathies
• Parkinson's Disease
• Pelizaeus-Merzbacher Disease
• Traumatic Brain Injury

Together, these neurological disorders are responsible for millions of deaths and hospitalizations worldwide. FAS nomenclature varies across the literature, with varicosities, bulbs, spheroids, torpedoes, and beadings being common synonyms. My goal is to develop theoretical and computational models to investigate how FAS and other neurodegenerative effects impact functionality in neuronal networks.

To tackle this extremely hard problem, I use a broad range of classic and modern Applied Mathematics methods, including Scientific Computing, Dynamical Systems, Network Analysis, Decision-Making Theory, Machine-Learning and Data-Driven Methods.

Please contact me if you are interested in learning more about my work !