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About the experts

Prof. Riaan de Jongh

Director, Centre for Business Mathematics and Informatics, North West University (SA)

Prof de Jongh is primarily a statistician specialising in modelling financial and other risk. He has wide experience of management consulting, data mining, and analytics.

Prof. David Borchers

Department of Statistics, CREEM, University of St. Andrews (UK)

Prof Borchers is head of the statistics group at the Centre for Research into Ecological and Environmental Modelling at St Andrews. His research covers population assessment methods, where he is best known for his work on distance sampling.

Dr. Melvin Varughese

Department of Statistical Sciences, University of Cape Town (SA)

Dr. Varughese's research focuses on stochastic processes, with applications to ecology and cosmology. He developed and lectures the machine learning module in the UCT stats department's Advanced Analytics program.

Prof. Bruce Bassett

Department of Mathematics and Applied Mathematics, University of Cape Town and AIMS (SA)

Prof Bassett is a cosmologist whose research ranges from theoretical cosmology to machine learning and Bayesian inference. He holds joint appointments at UCT, AIMS, and the South African Astronomical Observatory.

Dr. Ben Murrell

Department of Medicine, University of California, San Diego (USA)

Dr. Murrell is currently a postdoctoral fellow at the University of California, San Diego. His PhD, from Stellenbosch University, was in computer science, and his research encompasses topics in bioinformatics, computational biology, and machine learning

Dr. Jonathan Zwart

Institute for Data Intensive Astronomy, University of Cape Town and University of the Western Cape (SA)

Dr. Zwart is currenly a Square Kilometer Array (SKA) postdoctoral fellow, after holding positions at Columbia University and the University of Cambridge. He is most interested in applying Bayesian analysis to radio-continuum surveys.

Prof. Maria Fasli

Institute for Analytics and Data Science, University of Essex (UK)

Prof Fasli is a computer scientist by training. Her research interests lie in intelligent and adaptive systems, agents and multi-agent systems, data exploration, analysing and modelling complex data and big data.

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