Engineer and Computer Scientist with a PhD in Machine Learning and Computational Neuroscience from the Computational Learning Systems Laboratory, University of South Australia (2016). 
Coupled with a strong research foundation, Daniel has valuable industry experience using and advancing data science and machine learning techniques to help companies derive value from data.