Owain Cisuelo
@cisuelo
PhD-trained biomedical engineer specialising in wearable sensing and AI-driven healthcare solutions.
What I'm looking for
I am a data-driven biomedical engineer with cross-sector experience in healthcare technology, retail, and manufacturing, focused on applying machine learning to physiological sensor data.
During my doctoral research I developed personalised, non-invasive physiological monitoring methods using wearable sensors, implementing deep learning models in Python with TensorFlow and extensive signal preprocessing and denoising pipelines.
In industry I have delivered scalable, cloud-based APIs and event-driven microservice architectures, high-throughput data ingestion systems, and large-scale analytics pipelines on cloud platforms to support real-time inference and business-critical functions.
I collaborate effectively across academia and industry, have supervised student projects, and published peer-reviewed work demonstrating the feasibility of non-invasive glucose estimation from ECG and multimodal physiological datasets.
Experience
Work history, roles, and key accomplishments
Graduate Teaching Assistant
University of Warwick
Sep 2023 - Jun 2024 (9 months)
Assisted delivery of the 'Medical Device: Design, Maintenance, and Assessment' module and co-supervised an MEng project on frugal approaches to cardiac monitoring, supporting student learning and project supervision.
Software Developer
MandM Direct
Jan 2020 - Dec 2021 (1 year 11 months)
Designed and developed a scalable, cloud-based retail order-processing system using an event-driven microservice architecture, improving availability and enabling near-real-time delivery of order, inventory, and customer events for analytics.
Software Engineer
Bioepic
Jan 2017 - Dec 2019 (2 years 11 months)
Built a scalable cloud platform from prototype to production as sole backend developer, delivering secure low-latency APIs, data ingestion engines, CI/CD pipelines, and real-time ML inference for wearable and smartphone data.
Programmer
Franklin Hodge Industries
Jan 2015 - Dec 2017 (2 years 11 months)
Developed and deployed systems for critical business functions including CAD integration to automate design document generation and a web-based CRM to streamline purchase order and sales administration.
Education
Degrees, certifications, and relevant coursework
University of Warwick
Doctor of Philosophy, Biomedical Engineering
2021 - 2025
Grade: Thesis not submitted
Activities and societies: Graduate Teaching Assistant; research collaboration with partner institutes and clinical unit;
PhD research on machine-learning models for non-invasive glycaemic monitoring using ECG and wearable sensor data, developing signal-processing pipelines and deep learning models for short-term glucose estimation.
Swansea University
Bachelor of Science (Hons), Theoretical Physics
2009 - 2014
Bachelor of Science (Hons) in Theoretical Physics covering core theoretical and mathematical methods in physics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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