ML/AI Consultant | Data Scientist | Researcher
ML/AI consultant delivering production machine learning solutions. PhD Materials Science with strong background in scientific methodology, experimental design, and statistical analysis now applied to solve business problems.
PhD Materials Science — University of Melbourne (2010–2014)
Commonwealth PhD Scholarship recipient
Google Advanced Data Analytics (2024)
Professional Certificate in Advanced Data Analytics
BSc Chemistry & Mathematical Physics — University of Melbourne
First Class Honours
ML/AI Consulting: Racing analytics • Sensor intelligence • Computer vision
Recent Projects: Motorsport performance optimization • Intelligent sensor systems • Open-source scientific ML
Machine Learning & AI
PyTorch • TensorFlow • Hugging Face • OpenCLIP • Stable-Baselines3 • FastAI • Scikit-learn
Data Science & Analytics
Python • SQL • Pandas • NumPy • Statistical Analysis • A/B Testing • Experimental Design
Software Engineering
Rust • Docker • Git • CI/CD • AWS • FastAPI • Flask
Research & Scientific Computing
Experimental design • Signal processing • Numerical methods • Optical physics
FLEET Research Fellow — Monash University (2018–Present)
Led research projects • Built ultrafast laser optics laboratory • Co-supervised PhD students • Managed faculty-wide research symposia
Postdoctoral Research Fellow — University of Notre Dame (2016–2018)
Designed Fourier imaging microscope • Published high-impact papers • Supervised PhD student
Postdoctoral Research Fellow — UC Merced (2014–2016)
Published research on quantum dot photophysics • Supervised graduate students • Managed laboratory operations
pytmat — Rust/Python scientific package
High-performance T-matrix calculations • Used by international research community
EmojiVision — ML application
OpenCLIP-based semantic search • 10K+ downloads
RL Portfolio — Reinforcement learning
PPO, DQN implementations • Deployed on Hugging Face Spaces
FastAI Segmentation — Computer vision
Production-ready segmentation pipelines • U-Net architectures
Email: gary.beane@monash.edu
LinkedIn: linkedin.com/in/gary-beane
GitHub: github.com/gbeane66
Google Scholar: scholar.google.com/citations?user=DdumthMAAAAJ
Publications: 500+ citations • High-impact journals including Science, Nature Communications, ACS Nano