Summary
David Wong is a Clinical Lecturer in Ophthalmology and postdoctoral-trained clinician-scientist based in Cambridge with nine years of experience spanning molecular biology, clinical training, and high-throughput multiomics. He holds an MD/PhD from Cambridge and a PhD focused on circadian proteomics from the MRC Laboratory of Molecular Biology, where his work reshaped thinking about cellular timekeeping and protein homeostasis. His current research uses genomics, transcriptomics, proteomics and metabolomics to identify biomarkers and therapeutic targets for neurodegenerative eye diseases such as Leber Hereditary Optic Neuropathy, while he concurrently progresses through ophthalmology residency training. Comfortable with R and Python for bioinformatics, he pairs wet-lab insight with computational analysis and has practical training in machine learning and entrepreneurial evaluation from Coursera and Cambridge Judge Business School. Colleagues appreciate his ability to translate complex multiomic datasets into clinically relevant hypotheses and to time interventions informed by circadian biology.
9 years of coding experience
2 years of employment as a software developer
Neural Networks and Deep Learning, Neural Networks and Deep Learning at Coursera
Doctor of Philosophy - PhD Cell/Cellular and Molecular Biology, Doctor of Philosophy - PhD Cell/Cellular and Molecular Biology at University of Cambridge
MB BChir PhD Medicine, MB BChir PhD Medicine at Trinity College Cambridge
Westminster School, London