Johnny McNulty

I’m a Biomedical Engineer and data scientist with 7+ years’ experience in algorithm development for physiological signals, with a focus on DNA sequencing platforms, EMG control systems, and sleep-sensing quality-of-life products. I’m highly motivated by innovation in technology and healthcare, especially in regulated medical environments.

In my current role as a Data Scientist at DNA Electronics, I support development of a signal-based Next Generation Sequencing (NGS) microchip platform for bloodstream infection testing. I’ve identified and implemented improvements to the sequencing algorithm in Python—engineering novel signal features and optimizing pipeline parameters that became the default algorithm setup—while also building objective analysis methods such as a mixed-effects model to reduce subjective decision-making.

Previously at University College London, I led end-to-end development of a signal-based ML/DSP algorithm for an artificial larynx, applying deep learning (LSTMs, CNNs) and classic models to classify time-series EMG signals for actions like swallowing, coughing, and speaking. Earlier at ResMed, I developed and tested algorithm verification platforms for sleep-related signal monitoring, and I continue to value rigorous, collaborative work across multi-disciplinary teams while contributing to peer-reviewed IEEE publications and grant applications.