Community Members

Neurologist by training, working at the intersection of neuroimaging and AI. Passionate about art, and usually found running when not chasing data.

I’m a computational neuroscientist with a strong interest of a better understanding disease progression in Multiple Sclerosis by applying artificial intelligence tools to structural, functional, and diffusion-based neuroimaging and clinical data. I'm also passionate to leverage these tools to better understand the impact of menopause and pregnancy-related hormonal changes on disease in women with Multiple Sclerosis.

Cognitive neuroscientist interested in cognitive decline and neuroplasticity in multiple sclerosis. Working with neurophysiology (EEG/MEG), brain imaging, and real-world monitoring to support clinically meaningful insight.

Neuroradiologist. Imaging neuroscientist. AI enthusiast.

Serious MS Neurologist

Physics engineer focusing on cognitive impairment in MS. Dad of three, sleep of half.

MS Neurologist with interest in genomics and other omics approaches to predict long-term outcomes and response to treatment. Fascinated by applying big data to important questions in life.

I am a cognitive neuroscientist studying cognitive decline and impairment in multiple sclerosis using multimodal neuroimaging (EEG, MRI, fMRI, fNIRS) and machine learning.

Biomedical Engineer working in medical informatics. Interested in imaging, AI, and data analysis in healthcare. Passionate photographer, board game enthusiast and bouldering hobbyist.

Physicist and neuroscientist focused on the network-level effects of multiple sclerosis pathology on brain and cognition using MRI.

Formerly an electronic engineer, now exploring the world of science. Powered by coffee and a love for climbing.

MS neurologist. NIBSist. Combining-it-ist.

Neuroimaging researcher with a passion for automating the boring parts. Sports enthusiast, literature lover and coffee geek.

Computational neuroscientist, wannabe statistician. Big data, machine learning, open / better science advocate.

I’m a computer scientist working with MRI analysis in MS for the last two decades, with a focus on figuring out how to translate and/or adapt research endpoints into clinical practice. While I’m cautious about AI, I’m also extremely excited about its potential to change the way we work with images and our ability to integrate with multi-modal data.

Psychologist specialised in cognitive assessment in neurological disorders. Passionate about digital technology and AI. In a previous life I was a rock guitarist.

Assistant professor of neurology

I am a medical doctor and developer with a strong focus on medical and AI integration. I leverage AI and machine learning techniques to tackle healthcare issues, particularly in surgical applications. My expertise includes working with diagnostic imaging, patient records, and creating predictive tools for medical applications

Physiotherapist by training, undercover agent among the AI developers. Triathlete, guitarist, nearly-dad.

I am a physician-researcher that leverages brain imaging and cognitive research to improve personalized clinical care for people with multiple sclerosis. My belief is that AI should always serve our end-goals and should be used cautiously only when it is the right tool for the job.

Cognitive neuroscientist with a deep interest in computational approaches and network science. Fascinated about our dynamic brain. Climber, runner and gadget collector.

Interested in improving patient outcomes through innovation. Focused on MRI, paediatrics, and cognition. Optimistic, but with evidence.

PhD student on automatic methods for MRI processing applied to MS.