Dr Mario Andrés Muñoz

Dr Mario Andrés Muñoz’s research focuses primarily on understanding what makes a problem easy or hard for an optimization or machine learning method, through scientific experimentation, visualization, predictive modelling, and statistical inference techniques. With a keen interest in interdisciplinary work, he has published in fields as diverse as Biomechanics, Power Networks, Resources Engineering, Corporate Social Responsibility, and Computational Biology. He received his PhD from The University of Melbourne in 2014. Prior to joining OPTIMA, he was a Research Fellow at the School of Mathematics and Statistics, The University of Melbourne. He has published over 50 papers, including 20 articles in leading journals, and currently co-supervises five PhD students. He is the main developer of the MATILDA computational engine for Instance Space Analysis.