Skills:
Generative AI | Convolutional Neural Networks | Natural Language Processing | Deep Learning/Neural Networks | Anomaly detection | Time Series | Decision Trees | Dimensionality reduction/clustering | Classification | Mixed Model (LMM; GLMM) | Longitudinal data analysis | Regression | Bayesian Machine Learning | Machine learning
Moji Ghadimi joined QCIF in April 2025 as Head of AI and Quantum Algorithms, bringing over 15 years of experience across academia, government, and industry. Before joining QCIF, he held senior data science roles, including at Queensland Treasury, where he led emissions, energy, and economic modelling to support Net Zero policies. He also directed AI and MLOps teams in industry, deploying cloud-based AI solutions for healthcare, and led multi-disciplinary, national and international projects at UQ and Griffith University on cutting-edge quantum computing initiatives and data-driven health projects that shaped global health policies.
Moji holds a PhD in Quantum Computing from Griffith University, where he developed methods to accelerate atom-based quantum computers in collaboration with Georgia Tech and Fraunhofer Institute, and a Master’s in Computational Physics.
He is passionate about making advanced AI and quantum technologies accessible to researchers tackling complex challenges in diverse fileds including health, bioinformatics, and traffic. His current work spans federated machine learning, quantum optimisation, and large-scale AI initiatives.
When he’s not ‘AI-ing’ or pondering Schrödinger’s cat, Moji chases soccer balls, kickbags, or his kids—usually with mixed success.



