Academic rigor, practical delivery

Dr Christoph Bergmeir

Forecasting & AI systems

A world-recognized authority on time-series forecasting and uncertainty modeling, designing architectures that make forecasting adaptive, explainable and genuinely useful, paired with a rare bias toward simplicity.

• 13,200+ citations across forecasting & ML research
• Clarivate Highly Cited Papers (top 1% in forecasting)
• Maria Zambrano Senior Fellow, University of Granada
• Australian Research Council DECRA recipient
• Co-author of NeuralProphet, Kats & the Forecast package

Dr Peter Stuckey

Constraint programming & optimization

A world-leading researcher in constraint programming and discrete optimization, and a professor at Monash University.

• 23,000+ citations, h-index 71
• Fellow of the AAAI (2019)
• ACM Distinguished Scientist
• Google Australia Eureka Prize for Innovation in Computer Science

Dr Wray Buntine

Machine learning & generative AI

Australia’s foremost scholar for the statistical analysis of text and predictive modeling, with a global reputation built over decades of machine-learning and generative-AI research.

• Top 0.75% most-cited AI researchers globally
• 13,000+ citations and 200+ publications
• AI Best Paper Award, ECAI
• General Chair, Asian Conference on Machine Learning 2024
• Co-editor, ACM Transactions on Probabilistic ML

Dr Abishek Sriramulu

Graph AI & adaptive modeling

A machine-learning scientist whose work in multimodal and graph AI lets RabbitHawk reason across structured, unstructured and contextual data, connecting numbers to meaning.

• Pioneer of Adaptive Dependency Learning GNNs
• PhD in Machine Learning, Monash University
• Former co-founder & CTO, Tymestack (graph-AI pricing engine)
• ARC and Meta research-grant recipient

Dr Frits de Nijs

Optimization & agentic learning

A leading expert in multi-agent systems, reinforcement learning and sequential decision-making, uniting forecasting and optimization into self-learning decision loops.

• Research Fellow, Monash University
• Australian Research Council DECRA grant recipient
• PhD, TU Delft (multi-agent decision making)
• 3rd globally, NeurIPS 2021 ML4CO challenge

Paul Shale

Alignment strategy & product design

Designs RabbitHawk’s goal-setting and alignment models, turning advanced analytics into tools that are easy to use, with decades leading multi-disciplinary teams across retail and beyond.

• B.Com / LLB (Hons), University of Auckland
• Disruptive Innovation Program, Harvard Business School
• Former CEO, FCB NZ & Roadtrippers AU; former CCO, Nextspace
• Led teams of 250+ across the USA, Australia & New Zealand