Eugene’s research interests include dynamical systems, network science and machine learning. He is particularly interested in how the dynamics of naturally occurring networks such as epidemic spread, political networks and power grids may be better understood and controlled.
Eugene is skilled in machine learning, time series prediction and mathematical modelling with programming experience primarily in Julia, Python and Matlab.
He is interested in areas where my research can be used to solve practical problems in the public sector.
Key Skills
- Programming experience (Julia, Python, Matlab)
- Familiarity with machine learning APIs (PyTorch, Tensorflow, Keras, Flux)
- Mathematical expertise in: modelling, time series and signals analysis, machine learning, nonlinear dynamics
- Good writing and communication skills; multiple years of experience in classroom tutoring and lecturing positions, multiple published papers
- Strong work ethic and always eager to learn and improve
For more information, please contact your state’s APR.Intern Business Development Manager:
- Justin Mabbutt (VIC & TAS) – j.mabbutt@aprintern.org.au / 0413 050 952
- Michael Valentine (VIC & NT) – m.valentine@aprintern.org.au / 0411 600 063
- Mark Ovens (NSW & ACT) – m.ovens@aprintern.org.au / 0400 764 763
- Glen Sheldon (QLD, SA & WA) – g.sheldon@aprintern.org.au / 0431 832 788