Introduction

Introduction

I am based in the Department of Neuroscience & Biomedical Engineering, Aalto University, Finland, where I work with Prof. Matias Palva. I also hold the title of Docent (Adjunct Professor), from Department of Computer Science, Helsinki University, Finland. I have research experience from Aalto University and Helsinki University in Finland, and from Cambridge University and Reading University in UK. I have been fortunate to work with wonderful supervisors: Prof. Samuel Kaski, Prof. Matias Palva, Prof. Richard Henson, Prof. Slawomir Nasuto and Prof. Douglas Saddy.

Current research

Most of my research has been on developing computational methods to analyse human electrophysiological data, i.e., Electroencephalography (EEG) and Magnetoencephalography (MEG) (Williams et al. (2019), Williams et al. (2018), Williams et al. (2015), Williams et al. (2011)), so that they can be applied to answer specific questions about healthy brain function (Williams et al. (2023)) or pathological brain function in brain disorders like Alzheimer's Disease (Sami et al. (2018)). Further, I have recently ventured into building biologically realistic computational models of brain activity (Williams et al. (2023a)), which could be used as brain "digital twins" to, for example, help identify personalised brain stimulation protocols to treat specific brain disorders such as Stroke. 

I also provide algorithm development consultancy to medical technology companies and projects such as Vital Signs Ltd.  and INGA, on using biosignals from wearable or portable sensors to monitor heart function, or to diagnose heart or lung disorders such as Heart Failure and Asthma.

Future research plans

Brain disorders urgently need representative brain digital twins, i.e.,  person-specific biologically realistic models, to facilitate their diagnosis and treatment.  In my future work, I look forward to building increasingly representative brain digital twins, which I will apply in collaboration with neurologists in India, Finland and UK, to advance the diagnosis and treatment of brain disorders such as Stroke, Alzheimer's Disease and Parkinson's Disease. I expect combining these brain digital twins with EEG/MEG data, will dramatically improve health outcomes of patients suffering from these disorders, and significantly enhance their lives.

I also look forward to continuing working with hospitals and medical technology companies on developing clinical-need-based-algorithms  to harness biosignals from wearable and portable sensors, to diagnose heart, lung, brain or other physiological disorders. 

Keywords 

Brain Digital Twins; Digital Twins in Neurology; Personalized Medicine; Early diagnosis; Biosignal processing; Telemedicine; Remote Patient Monitoring; Healthcare Analytics; Clinical Decision Support; Healthcare AI/ML.