PhD in Information Technology and Electrical Engineering – The University of Queensland
MPhil in Manufacturing Engineering and Engineering Management – City University of Hong Kong
BEng in Mechatronic Engineering (1st Class Honours) – City University of Hong Kong
As a data scientist (postdoctoral fellow), I build data pipelines, develop and leverage algorithms and AI, and perform data analysis and evaluation to facilitate clinical decision-making.
My background is in engineering and I have been working on developing and evaluating AI on electronic medical record (EMR), algorithms on biomedical data, Internet of Things (IoT) for patient safety with web and mobile app interfaces, and hardware design for biomedical data collection.
I am currently working as part of implementation science team, Implementation to Impact (i2i), with the aim at building a learning health system and translating evidence-based precision medicine into practice to improve patient care in oncology.
Best Journal Paper (EAIT Postgraduate Conference 2015) – The University of Queensland
UQ International Scholarship – The University of Queensland
Australian Research Council Scholarship – Australian Government
Postgraduate Scholarship – City University of Hong Kong
P-OMICs-flow: Integrating precision oncology into clinical programs