Marcel Scharth
Lecturer In Business Analytics at The University of Sydney Business School
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolMarcel Scharth is a Lecturer in Business Analytics at the University of Sydney Business School with nine years of academic experience focused on statistics and machine learning. He holds a PhD in Econometrics and brings deep expertise in Bayesian methods, computational statistics, deep learning, time series forecasting, and causal inference. His research has been published in top journals including the Journal of Econometrics and The Review of Economics and Statistics, reflecting a strong blend of theoretical rigor and applied impact. Marcel moved from a postdoctoral role at UNSW to a faculty position at Sydney, where he teaches and supervises research that often bridges econometric theory and practical forecasting. He is based in Sydney and combines international training from the Netherlands and Brazil with a track record of publishing methodological work that informs empirical economic and business problems.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Econometrics, Doctor of Philosophy (Ph.D.), Econometrics at Vrije Universiteit Amsterdam (VU Amsterdam)Master of Philosophy (MPhil), Economics, Master of Philosophy (MPhil), Economics at University of AmsterdamPontifical Catholic University of Rio de Janeiro
English, PortugueseGithub contributions (5)
mscharth/qbus6810
Jul 2019 - Nov 2019
Contributions:30 commits, 23 pushes, 1 branch in 3 months
mscharth/aarhus
Jun 2019 - Jul 2019
Contributions:25 commits, 23 pushes, 1 branch in 1 month
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