Ping Lin Yeap

Bio

Ping Lin is a PhD candidate in Oncology at the University of Cambridge, funded by the Bill and Melinda Gates Foundation through the Gates Scholarship. With multiple peer-reviewed publications in medical physics and machine learning, he is part of the CRUK RadNet Cambridge Data Science Group currently led by Dr Rajesh Jena. Ping Lin has prior clinical experience as a medical physicist at the National Cancer Centre Singapore, where he worked in a multi-disciplinary team of healthcare professionals to develop radiotherapy treatment plans for cancer patients and commission commercial technologies for clinical use. He has also spent 2 years as a policy officer in the Singapore civil service, where he applied machine learning to cluster national survey data for additional insights. Ping Lin holds a MPhil in Computational Radiotherapy from the University of Cambridge, where he developed deformable image registration workflows to investigate dose-toxicity correlations, and a BSc in Physics from Imperial College London.

Research interests

Ping Lin’s PhD research focuses on adaptive radiotherapy, which entails dynamically adapting cancer treatment plans to patients’ changing anatomies over the course of treatment. He is developing generative models to synthesise high-quality planning CT scans using cone-beam CT scans, such that they can be used directly for plan adaptation. This research will hopefully enable and enhance adaptive radiotherapy workflows in the clinic, and contribute towards personalised and precision medicine.