معرفی
Boyan Gao is a Postdoctoral Researcher at the University of Oxford's Institute of Biomedical Engineering, part of the Engineering Science faculty. His research focuses on meta-learning, deep optimisation, and Bayesian deep learning, with applications in clinical machine learning. He is affiliated with the Computational Health Informatics (CHI) Lab under Prof. David Clifton, exploring optimiser and loss function learning for novel tasks.
Education:
- PhD in Deep Learning and Machine Learning from the University of Edinburgh (supervised by Prof. Timothy Hospedales)
Research Interests: Boyan's work bridges theoretical advancements in meta-learning with practical clinical applications. Key areas include gradient-based meta-learning, optimisation algorithm adaptation for unseen tasks, and Bayesian approaches in deep learning. His recent projects address challenges in medical image segmentation, physiological signal analysis, and scalable edge-based language models.
Labs & Collaborations: He collaborates within the CHI Lab, focusing on clinical machine learning applications. His work intersects with digital health initiatives, leveraging AI for healthcare diagnostics and patient monitoring.
