Sydney, Australia
I co-founded BIMLOGIQ, where we build AI systems for the architecture, engineering and construction industry. My work sits between research and practice: deep machine learning, real-world systems, and tools that people can actually use.
This is my corner of the web — welcome.
What I'm building
BIMLOGIQ applies AI to the architecture, engineering and construction industry. We build tools that help AEC teams automate repetitive technical work, including natural-language automation and drawing annotation.
The work is practical, but it comes from a research mindset: understand the problem deeply, build the system carefully, and make the technology useful in real workflows.
Visit bimlogiq.com →About
A researcher's approach to machine learning, applied to real industry problems.
I'm a machine-learning scientist and founder based in Sydney. As co-founder, CEO and Chief Scientist at BIMLOGIQ, I lead an Australian technology company building practical AI tools for the architecture, engineering and construction industry.
Before BIMLOGIQ, I worked on machine learning and AI for decision-making at CSIRO's Data61, developing data-driven systems with applications across manufacturing, health, conservation and mental health.
Earlier in my career, I worked on machine-learning applications in mental health and computational neuroscience, building models to better understand decision-making in conditions such as problem gambling and obsessive-compulsive disorder.
My research spans reinforcement learning, deep learning and probabilistic inference, with a focus on modelling and understanding human decision-making. It has appeared in venues including NeurIPS, ICML, PNAS and Nature Communications.
I stay close to the research community as an Area Chair for NeurIPS and a reviewer for ICML, ICLR and AISTATS.
Research
Peer-reviewed work in machine learning and computational neuroscience. Search by title, author, venue or year.
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