Jamie Pordoy

I am a dedicated professional with a robust background in artificial intelligence (AI) research, specialising in machine learning, data science, computer vision, and biomedical detection. My PhD focused on the feasibility of non-invasive seizure detection using deep learning techniques to model acceleration and electrocardiography (ECG) waveforms, earning the Marcia Worrell Award for outstanding research contributions. As a Postdoctoral Researcher, I was part of an international research collaboration, where I oversaw a project aimed at enhancing e-learning and online engagement through facial detection and emotion recognition.

I am now transitioning from academia to industry, seeking a dynamic environment to leverage my expertise in developing impactful solutions. Proficient in machine learning, data science, data analysis, database design, and predictive modelling, I am keen to contribute to a forward-thinking company. Passionate about advancing biomedical research and healthcare solutions, I am open to relocation and excited to apply my skills to new challenges and drive future innovations.

I am a dedicated professional with a robust background in artificial intelligence (AI) research, specialising in machine learning, data science, computer vision, and biomedical detection.

I am a dedicated professional with a robust background in artificial intelligence (AI) research, specialising in machine learning, data science, computer vision, and biomedical detection. My PhD focused on the feasibility of non-invasive seizure detection using deep learning techniques to model acceleration and electrocardiography (ECG) waveforms