Peter Doggart
Chief Technology Officer
Belfast, UK
blog@peterdoggart.com
Recent Publications
Reducing the Burden of Inconclusive Smart-Device Single-lead ECG tracings via a Novel Artificial Intelligence Algorithm - Cardiovascular Digital Health Journal
Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR - Computing in Cardiology
A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learning - Journal of Electrocardiology
Automated Identification of Label Errors in Large Electrocardiogram Datasets - Computing in Cardiology
Patents
Vehicle communication system and method - Google Patents
Awards
Industrial Fellowship (2023) - Royal Commission for the Exhibition of 1851
Dr John Roberts Jones Prize (2015) - Bangor University
IET Prize (2015) - Bangor University
Organisations
Member - The Institution of Engineering and Technology
Open Source
About
My name is Peter Doggart, and I'm a tech enthusiast with a mission: using AI to improve healthcare. Currently, I wear three hats – Chief Technology Officer at PulseAI, a Belfast startup building AI software for ECG analysis, PhD researcher at Ulster University, and an Industrial Fellow of the Royal Commission for the Exhibition of 1851.
My journey started with a master's degree in engineering from Bangor University, and soon after, I became a chartered engineer with the Institution of Engineering and Technology. The past five years have been a whirlwind in the healthcare tech world, with inventions and publications galore. Before that, I was knee-deep in automotive research at Jaguar Land Rover and Warwick University, where I even got a patent for my work on vehicle communication systems.
But healthcare is where my heart truly lies. I see AI as a game-changer, a force that can revolutionize how we diagnose and treat diseases. My passion is building tools for early detection, boosting the accuracy of medical procedures, and making healthcare more efficient and accessible for everyone.
Work Experience
Co-founder and Chief Technology Officer / PulseAI
June 2021 - Current
As Chief Technology Officer at PulseAI, I spearhead the development and implementation of cutting-edge AI solutions for ECG analysis. Our mission is to transform cardiac care by providing clinicians with powerful, accessible tools for accurate and timely diagnosis.
Key responsibilities:
- Lead the R&D team - Define the technical vision and roadmap for PulseAI's AI algorithms and products. Foster a culture of innovation and excellence within the team.
- Architect and develop AI solutions - Design and implement AI models for ECG analysis, ensuring compliance with regulatory requirements and clinical best practices.
- Collaborate with stakeholders - Work closely with clinicians, researchers, and business partners to understand user needs and translate them into real-world AI applications.
- Manage technology infrastructure - Oversee the development and maintenance of our cloud-based platform for secure data storage, analysis, and delivery of AI insights.
- Champion industry adoption - Foster partnerships and collaborations to bring PulseAI's technology to healthcare providers and patients worldwide.
Technical Specialist / B-Secur
September 2019 - June 2021
I was responsible for leading the technical activities across B-Secur's algorithm development team. This covered a diverse and complex portfolio of research projects in the ECG, healthcare, and consumer device space. During my tenure, I was responsible for peer reviews of all algorithm technical deliverables and software, as well as coaching others and providing expert advice and company-wide training on new technologies.
Senior Algorithm Engineer / B-Secur
March 2018 - September 2019
I was responsible for delivering B-Secur's ECG technologies and software. I was responsible for driving the development of new ideas across several focus areas, including digital signal processing, physiological monitoring, and intellectual property capture.
Research Engineer / Jaguar Land Rover
September 2015 - February 2018
I was a member of a small, specialized V2X technology team, tasked with conducting research and developing next-generation vehicle communications systems, collaborating closely with Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle engineers. This included working with the 802.11p (DSRC), LTE / Cellular, and LTE-Direct (3GPP Rel-14) ecosystems for car-to-car and car-to-infrastructure features. Additionally, this work involved working on large consortium/collaboration projects, working directly with other automotive OEMs, universities, and public bodies.
Education
Ulster University
September 2023 - Current
Doctor of Philosophy - PhD, Artificial Intelligence
Institution of Engineering and Technology (IET)
November 2022
Chartered Engineer (CEng)
Bangor University
September 2011 - July 2015
Master of Engineering (Hons) - Computer Systems Engineering (1st Class)
Sullivan Upper School
September 2004 - July 2011
Mathematics, Computing, Physics and Chemistry (A-Level)