Linus Health acquired Kinesis Health Technologies in March 2022. Transitioned to new role overseeing development and validation of new digital health assessments in the Linus platform including maintenance of existing Kinesis products.

Kinesis Health Technologies (www.kinesis.ie) are an award-winning digital health company based in Dublin, Ireland. Acquired by Linus Health, March 2022.At Kinesis, I am responsible for technical direction, research and development as well as regulatory affairs. I manage engineering operations as well as contributing to product development on an individual level.Kinesis are a spin-out of a large ageing research centre the Technology Research for Independent Living (TRIL) Centre, and University College Dublin. We are a registered medical device manufacturer in the EU, USA Australia, Canada, South Korea, Malaysia, Singapore and Thailand.QTUG, our proprietary, evidence based technology is a Class I medical device and uses body worn sensors combined with a standard clinical test (the Timed Up and Go - TUG) for assessment of mobility and falls risk. The product is intended to help prevent falls in older adults and for monitoring response to therapeutic intervention.Kinesis Gait, our wireless, portable gait analysis solution is intended for accurate in-field and in-clinic assessment of gait and mobility in a range of populations, supporting a wide-variety of gait protocols.Kinesis Balance, a smartphone application that uses machine learning algorithms and the smartphone's sensors to assess balance and predict falls; providing curated advice and exercises to prevent falls.

Enterprise Ireland commercialisation fund focused on commercialisation of research arising from the Intel Digital Health group and the TRIL centre - resulted in spinout of Kinesis Health Technologies Ltd.

A number of research and development roles in Intel Digital Health Group and Intel labs as well as a secondment with Care Innovations.Data analysis/signal processing/machine learning/statistics/healthcare technology researchDevelopment of assisted & independent living technologies as part of the TRIL centre (www.trilcentre.org).Research on digital signal processing, algorithm development and statistical analysis related to gait analysis and estimation of falls risk in older adults.

Developing algorithms for neonatal seizure detection and depth of sedation monitoring using electroencephalogram (EEG) and electrocardiogram (ECG) signals.

PhD student, department of Electronic & Electrical Engineering, University College Dublin.

PhD topic: "Quantification and classification of electrophysiological markers of seizure in the neonate" Development of signal processing and machine learning algorithms for electroencephalogram (EEG) and electrocardiogram (ECG) signals.