CV

Education

• Ph.D in Computer Science, University of New South Wales, 2023
• M.S. in Information Technology (Artificial Intelligence), University of New South Wales, 2020
• B.S. in Biotechnology and Business, University of Technology Sydney, 2013

Work Experience

• Postdoctoral Researcher - AI & Cybersecurity, CSIRO’s Data61, 2023-Current
• PhD Researcher - AI & Cybersecurity, Cybersecurity Cooperative Research Centre, 2020-2023
• Teaching Assistant - Recommendation Systems, UNSW, 2024
• Teaching Assistant - Artificial Intelligence, UNSW, 2021-2023
• Developer Intern - Machine Learning Systems, Atlassian, 2020
• Commercial Manager, Westpac, 2017-2020
• Sales Excellence Manager, Microsoft, 2016-2017
• Commercial Analyst, Coca Cola Amatil, 2014-2016

Research Experience

• Machine learning
  • Multi-output regression
  • Density estimation
  • Deep generative models
    • Variational Autoencoders
    • Denoising Diffusion Models
    • Autoregressive models
• Applications
  • Cyberdeception
  • Image generation
  • Layout generation
  • Code generation
  • Chart generation
  • Multi-modal representations (Text-to-image)
  • Adversarial robustness

Publications

HoneyCode: Automating Deceptive Software Repositories with Deep Generative Models

Diverse Multimedia Layout Generation with Multiple Choice Learning

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

Skills

• Python
• Pytorch Distributed
• Deepspeed
• Docker & Apptainer
• PostgreSQL
• Slurm
• Linux

Teaching

Recommendation Systems - Teaching Assistant (2024)

Artificial Intelligence - Teaching Assistant (2022)

Artificial Intelligence - Teaching Assistant (2021)

Data Structures and Algorithms - Teaching Assistant (2019)

Service and leadership

• Reviewer for ACM MM (2024), ICDCS (2024) and ACM MSWiM (2024).
• PC Member for PST (2024) and BuildSec (2024)