Archer Moore

Website: apmoore499.github.io
GitHub: github.com/apmoore499

About Me

I am a PhD graduate (2025) in Mathematics & Statistics from The University of Melbourne. My thesis comprised several works exploring Weak Supervision for Generative Models. Currently working in collective forecasting.

Research Interests

• Generative Modelling
• Semi-Supervised Learning
• Computer Vision
• Time Series Forecasting

Publications

• A. Moore, H. Shim, J. Zhu, and M. Gong, "Semi-supervised learning under general causal models", IEEE Transactions on Neural Networks and Learning Systems, 2024.

Education

• Ph.D. in Mathematics & Statistics – University of Melbourne (2025)
• B.Sc. (Hons) in Applied Mathematics – RMIT (2017)
• B.Sc. in Discrete Mathematics & Operations Research – University of Melbourne (2011)