Dr. Tommy Peng
Ph.D. Computer Systems Engineering, University of Auckland
M.Sc. Biomedical Engineering, Washington University in St. Louis
B.Sc. Biomedical Engineering, Washington University in St. Louis
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Dr. Tommy Peng is the founder of Quantifai and a data scientist with over a decade of experience developing AI-enabled, data-driven solutions. His work has spanned healthcare, research, education, and applied machine learning, with a focus on turning complex technical methods into tools that create practical value.
Tommy has led projects across the University of Auckland, the University of Melbourne, and the Bionics Institute, building end-to-end machine learning systems, data pipelines, and digital tools. He combines formal training in computer systems engineering, biomedical engineering, and neuroscience with hands-on product and algorithm development.
He began his technical journey in 2014 by implementing his own machine learning and optimisation algorithms. Since then, his work has included predictive modelling, signal processing, computer vision, natural language processing, and AI product development.
Tommy’s research and applied work have contributed to projects ranging from improving patient outcome prediction to building intelligent tools for assessment and reporting. He has published in peer-reviewed journals including PNAS, IEEE JBHI, and Computers in Biology and Medicine.