Atirut Boribalburephan

Atirut Boribalburephan is a Biomedical Engineering graduate from the University of Strathclyde and Mahidol University (Joint program). His final project involved Monte-Carlo simulations, gaze classification, and anatomically-compliant synthetic data for Digital Ophthalmology. He focuses on the development and advancement of clinically-relevant solutions with novel technologies and deep learning techniques regardless of modality domain (Tabular/ CV/ NLP/ etc.).

He is currently working on abnormality classification from ECG images with Titipat. He is also a lead ML developer of visual telemedicine computing project and a part of the ongoing glaucoma detection research.

His interests revolve around applying Self-Supervised Learning (SSL), Multimodal Deep Learning, and other associated techniques to solve real clinical problems.

More information

You can find more information on his Linkedin and his GitHub @NameAtirut.