XIAOCHUAN (Harry) WANG
Xiaochuan "Harry" Wang is a distinguished data scientist and statistical modeler with an impressive track record in driving innovation at the intersection of biomedical research and advanced analytics.
Harry holds degrees in Information Technology from Monash University and Biochemistry from the University of Melbourne. Trained as a bioinformatician, he has a strong background in biostatistics and machine learning. With a decade of experience in academia, public health, and industry, Harry has held key scientific and technical roles at prestigious institutions, including Metabolomics Australia, the University of Melbourne, the Cancer Council Victoria, and the Victorian Department of Health.
In his current role as a research specialist bioinformatician at the Metabolomics Australia (University of Melbourne Node), his work focuses on statistical machine learning, real-world big data analytics, and FAIR data governance principles. Harry's expertise encompasses advanced statistical modelling, high-performance computing, cloud-based infrastructure design, and the deployment of reproducible pipelines, enabling robust and scalable scientific analyses.
He has authored multiple peer-reviewed publications and technical reports on topics including clinical trials, national cancer screening strategies, and the translation of biomedical technologies. Harry's work consistently reflects a deep commitment to using data-driven solutions to achieve real-world impact.
Abstracts this author is presenting: