Pengyao Ping is an NHMRC grant-funded research associate and bioinformatician based in Adelaide with seven years’ experience integrating computational methods and large-scale biomedical data. He combines a doctoral background in biomathematics/bioinformatics with hands-on expertise in genome- and protein-wide association studies, pharmacogenetics, and epidemiology, working with UK Biobank and All of Us cohorts. His work bridges machine-learning, advanced statistics, and clinical insight to investigate genetic and proteomic predictors of treatment response in psychiatric and complex disease contexts. Previously he led engineering and research teams applying blockchain concepts, graph neural networks, and supercomputing interfaces—skills he leverages to design reproducible, scalable analyses. Colleagues value his ability to translate between computational rigor and clinical collaboration, and he often seeks novel data linkages that reveal nonobvious biological mechanisms.
7 years of coding experience
2 years of employment as a software developer
Doctor's Degree Biomathematics Bioinformatics and Computational Biology, Doctor's Degree Biomathematics Bioinformatics and Computational Biology at University of Technology Sydney
Master of Engineering - MEng Computer Science and Technology, Master of Engineering - MEng Computer Science and Technology at Xiangtan University
Contributions:4 PRs, 113 pushes, 19 branches in 1 year 1 month
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Pengyao Ping - NHMRC Grant-Funded Research Associate