Research output per year
Research output per year
Research activity per year
My research focuses on the theme of computational neuro-oncology. Currently, I use proton magnetic resonance spectroscopy to observe in vivo metabolite profiles of paediatric brain tumours and investigate its clinical translation. I am also interested in computational approaches in oncology such as mathematical modelling and machine learning. My work has been funded by National Institute of Health Research, Help Harry Help Others and Little Princess Trust.
Teddy Zhao is a research fellow at Institute of Cancer and Genomic Sciences, University of Birmingham. He was educated in Nanjing, China and Rennes, France before completing a PhD in University of Birmingham. He started his research career from biomedical signal processing during master studies, and now he has established the research theme of computational neuro-oncology with transdisciplinary approaches. He is specifically interested in understanding tumours by using proton magnetic resonance spectroscopy with physical, computational, biochemical, and clinical interpretations. He is keen to collaborate with colleagues with background in natural science and clinical medicine.
PhD, Cancer and Genomic Sciences, University of Birmingham, England
maîtrise, électronique et télécommunications, Université de Rennes, France
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Doctor of Philosophy, Cancer and Genomic Sciences
Award Date: 23 Jul 2023
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Zhao, T. (Creator), University of Birmingham, 14 Nov 2023
DOI: https://doi.org/10.25500/edata.bham.00000981
Dataset