Research in the field of data science from the Faculty of Science, University of Melbourne.
Hamideh Anjomshoa Operations research, mathematical modelling, healthcare modelling, machine learning.
Howard Bondell Variable and model selection, robust estimation, quantile regression, nonparametric smoothing and regression, regularization and Bayesian methods.
Steven Edwards Constraint programming, integer programming, instance-space analysis
Mingming Gong Machine learning, causal reasoning, computer vision
Matthew Tam Nonsmooth optimisation, monotone operator theory, symbolic computation
Damjan Vukcevic Biostatistical research with a specialisation in statistical genetics.
Susan Wei Statistical infernce for big data, machine learning, data science.
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
Brings together Australia's best researchers in applied mathematics, statistics, mathematical physics and machine learning.
Melbourne Centre for Data Science
An interdisciplinary environment set up to lead advances in data science for the benefit of society.
Melbourne Integrative Genomics (MIG)
We aim to understand biological systems, with a focus on genomes as the blueprint for each system. We are interested in biological systems of different scales.
Research in this area is conducted in the School of Mathematics and Statistics.