Honours in Quantitative Data Science

Boris Beranger, opens in a new window

• Extreme value theory
  

Rohitash Chandra, opens in a new window

• Bayesian neural networks
  
• Deep learning
• Machine learning
• Earth and climate data science

Feng Chen, opens in a new window

• Spatio-temporal data analysis
  
• Inference with incomplete data
• Statistical computation

Josef Dick, opens in a new window

• Approximation properties of neural networks
  

Gery Geenens, opens in a new window

• Nonparametric and semiparametric density estimation
• Nonparametric and semiparametric regression, in particular binary regression
• Functional data analysis

 Shane Keating, opens in a new window

• In collaboration with Spiral Blue, opens in a new window, Detecting maritime vessel anomalies using k-means clustering
  

Jeya Jeyakumar, opens in a new window

• Optimization based decision-making under data uncertainty
  
• Data-driven robust optimization
• Global optimization and data classification

Pavel Krivitsky, opens in a new window

• Social network analysis
  
• Analysis of blockchain data
• Statistical computing

Pierre Lafaye de Micheaux, opens in a new window

• Dependence measures
  
• Neuro-imaging genetics
• Data science for IoT

Guoyin Li, opens in a new window

• Optimisation methods in machine learning
  
• Optimisation under data uncertainty

Raymond Louie, opens in a new window (Co-supervisor; UNSW Computer Science & Engineering)

• Statistical analysis of molecular data and applications in vaccine and drug design
• Statistical modelling of biological systems
• Machine learning

Jake Olivier, opens in a new window

• Making sense of naturalistic driving study data
  

Spiridon Penev, opens in a new window

• Inference about expectiles
  
• Optimal capital allocation

Vera Roshchina, opens in a new window

• Projection methods for machine learning
  
• (Higher-order) Voronoi diagrams for data analysis 
• Conic programming and semidefinite optimisation for data science

Moninya Roughan, opens in a new window (co-supervisor)

• Oceanography
  
• Big data and time series
• Correlated variables

Amandine Schaeffer, opens in a new window (co-supervisor)

• Environmental drivers of marine heatwaves
  
• Understanding biological productivity in the ocean: statistical model from in-situ glider observations

Scott Sisson, opens in a new window

• Bayesian inference
  
• Computational statistics
• Variational methods
• Likelihood-free/indirect methods
• Symbolic data analysis
• Extreme value theory

Eva Stadler, opens in a new window (The Kirby Institute)

• Statistical analysis of data relating to infectious diseases (malaria or COVID-19)

Mircea Voineagu, opens in a new window

• Developing mathematical methods of topological data analysis
  
• Applications of topological data analysis for genetic and clinical data

David Warton, opens in a new window

• Analysis of large spatial datasets
  
• High-dimensional data analysis
• Simulation-based inference
• For more, see UNSW Eco-Stats, opens in a new window projects ideas