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Dr Leo Huberts

Dr Leo Huberts

Research Fellow
Medicine & Health
Centre for Big Data Research in Health

In 2022 Leo joined the Centre for Big Data Research in Health at the University of New South Wales as a research fellow, continuing his work on applied statistics and machine learning in healthcare. He aims to do meaningful work in bridging the gap between theory and practice. For more information on current activities and publications visit his LinkedIn or Researchgate.

Leo C.E. Huberts (1991) holds MSc and BSc degrees in Econometrics and a BSc in Natural and Social Sciences from the Univ...

Published studies:

  • Huberts, L.C.E., Does, R. J. M. M., Ravesteijn, B., & Lokkerbol, J. (2021b). Predictive monitoring

    using machine learning algorithms and a real-life example on schizophrenia [accepted for

    publication]. Quality and Reliability Engineering International

  • Huberts, L.C.E., Goedhart, R., & Does, R.J.M.M. (2021a). Improved control chart performance

    using cautious parameter learning [submitted for publication]. Computers & Industrial

    Engineering

  • Huberts, L.C.E., Schoonhoven, M. & Does, R.J.M.M (2020). Monitoring student progress: A case

    study to predict student success or failure. Early view in the Journal of Quality Technology

  • Huberts, L.C.E., Schoonhoven, M., & Does, R.J.M.M. (2019). The effect of continuously updating

    control chart limits on control chart performance. Quality and Reliability Engineering

    International, 35(4), 1117-1128

  • Huberts, L.C.E, Schoonhoven, M., Goedhart, R., Diko, M. D., & Does, R.J.M.M. (2018). The

    performance of control charts for large non-normally distributed datasets. Quality and Reliability Engineering International, 34(6), 979-996

  • Bun, M.J.G., & Huberts, L.C.E. (2018). The impact of higher fixed pay and lower bonuses on productivity. Journal of Labor Research, 39(1), 1-21