Marcel Scharth is a Lecturer in Business Analytics at the University of Sydney Business School. He specialises in the fields of statistics, econometrics, machine learning, and data science. Marcel received his Ph.D. from the VU University Amsterdam and the Tinbergen Institute in 2012, and has previously worked as a postdoctoral fellow at the University of New South Wales. Marcel is also affiliated with the Centre for Translational Data Science at the University of Sydney, where he engages in cross-disciplinary research in collaboration with partners in academia and industry.
Marcel's research interests include Bayesian methods, computational statistics, statistical learning, time series, and causal inference. His work has been published in journals such as the Journal of Econometrics, The Review of Economics and Statistics, and the Journal of Business and Economic Statistics.
Marcel currently teaches courses in statistical learning and advanced statistics. His teaching approach emphasises the development of conceptual understanding, statistical reasoning, analytical thinking, and computational skills, drawing on applications that highlight the connection between statistics and business decision making. Marcel has a strong interest in the science of learning, online education, and educational innovation, in particular the use of problem-based learning and other student-centred strategies.
Marcel also pursues professional and community engagement on Effective Altruism, including research collaborations.