Projects

ML for Home Health Monitoring 🧠

I developed machine learning systems for remote patient monitoring of people with dementia and movement disorders at Imperial College London and the Bioelectronics Group at the UK Dementia Research Institute. As translational project manager and research engineer, I led a team building hardware, software, and privacy-preserving ML models for edge devices (IoT sensors, wearables, cameras, motion capture systems) to monitor real-time physiology and movement patterns in patients’ homes. We built over a dozen prototypes, worked with hundreds of patients, and secured deployments with the UK National Health Service (NHS). This work laid the foundation for what I’m building today.

ML for Cleft Speech 🗣️

Cleft lip and palate-associated speech abnormalities are sparsely and subjectively measured by speech and language therapists. I led a multi-center project across Brazil, Sweden, and the UK to develop a novel language-agnostic speech ML application to automatically detect, grade, and monitor cleft-associated speech patterns, as an alternative to traditional assessments. I coordinated this work across Great Ormond Street Hospital, University of Edinburgh, Karolinska Institute, and University of São Paulo, working with Professor Athanasios Tsanas, Dr Felicity Mehendale, Dr Debbie Sell, and Professor Annette Lohmander.

Stem Cell Engineering 🧬

While working on 3D tissue printing methods at South Korea’s Asan Medical Center, I became interested in mesenchymal stem cells as a basis for lab-grown bone, cartilage, and muscle. I researched the native origin, properties, and functional heterogeneity of human CSPG4/NG2^+/- mesenchymal (perivascular) stem cells, working with Professor Bruno Péault at UCLA and the Scottish Centre for Regenerative Medicine.