Scientific Beta

Warwick Schneller, Head of Investment Solutions, Australia & New Zealand at Scientific Beta, will be speaking at the annual [i3] Equities Forum on February 11-12, 2026 in Yarra Valley (VIC), Australia

Warwick Schneller, Head of Investment Solutions, Australia & New Zealand at Scientific Beta, will be speaking at the 11th annual [i3] Equities Forum on February 11-12, 2026, in Yarra Valley (VIC). 

He will present on machine learning in equity investing. The session will explore new research from Scientific Beta that examines what drives the performance of ML-based equity strategies and what does not. Drawing on a comprehensive empirical study, the presentation disentangles two core sources of ML "complexity":

• Informational breadth – expanding the set of company characteristics from a handful of traditional factor signals to roughly 100 fundamental, technical, and microstructure variables.
• Functional complexity – allowing models to capture nonlinear interactions via neural networks instead of traditional linear predictors.

This evidence-driven perspective reframes the ML discussion: it is not about replacing factor investing with black-box models but about integrating better information and more disciplined implementation into systematic equity portfolios.

The [i3] Equities Forum is a premier event for institutional investors, bringing together senior investment professionals to discuss key issues shaping equity markets. 

Warwick joined Scientific Beta in 2025 bringing extensive experience in factor-based investing, having previously served as a senior member of the Research Group and Investment Solutions Group at Dimensional Fund Advisors. There, he led research initiatives, provided investment analysis, and contributed to thought leadership and client education. He began his career as a forex trader at Macquarie Group. He holds a Ph.D. in Finance from The University of New South Wales and is a CFA Charterholder. He also earned a Master's degree in Finance from Bond University and a Bachelor of Agricultural Economics (Hons) from Sydney University.