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 a seasoned data scientist with over a decade of experience in developing AI-enabled data-driven solutions. Tommy has led and delivered successful projects at the University of Auckland, University of Melbourne, and the Bionics Institute, building end-to-end machine learning models and data pipelines that achieved world-leading accuracy. Tommy is passionate about transforming expert knowledge into purposeful tools that empower better decision-making and create meaningful impact.
Tommy began his data science journey in 2014, implementing his own machine learning and optimisation algorithms. With formal training in both computer systems engineering and neuroscience, Tommy brings a rare dual perspective to AI, developing artificial neural networks inspired by biological neural computation.
Tommy’s work has spanned healthcare, construction, and aged-care industries, from improving patient outcomes with millisecond-accurate heartbeat predictions to optimizing construction cost reporting using natural language processing.
He has led publications in academic journals such as Computers in Medicine and IEEE JBHI. As an invited speaker at leading conferences, his ability to translate complex data into actionable insights has earned him multiple national and international awards.