Scientist turned AI builder working at the intersection of machine learning, scientific computing, and real-world systems.

I come from a background in astrophysics and Bayesian inference, where I developed high-performance computational methods to analyse cosmological data from space telescopes. My research contributed to the discovery of three exoplanets through large-scale C++ simulations.

Today I focus on building robust, efficient AI systems that translate scientific ideas into practical tools. My work has ranged from Bayesian deep learning for financial forecasting to multi-modal machine learning platforms for real estate analytics and underwriting.

I enjoy working with small, ambitious teams exploring new applications of AI and building systems from first principles.

⚡ Energy-efficient machine learning
🧠 Scientific machine learning and probabilistic models
🌍 AI for geospatial intelligence and remote sensing
⛏️ Mineral discovery using ML and satellite data
🔍 Efficient adaptations of foundation models

Languages

• Python
• C++

Machine Learning

• PyTorch
• Scikit-learn
• Probabilistic modelling

Scientific Computing

• High Performance Computing (HPC)
• Bayesian inference
• Numerical simulation

Domains

• Geospatial & remote sensing
• Financial modelling
• Real estate market intelligence

Machine Learning Leadership — Real Estate AI
Led development of a multi-modal ML platform combining tabular, text, and imagery data to forecast property markets and support underwriting decisions.

Entrepreneurship — AI in Finance
Co-founded a machine learning hedge fund through Entrepreneur First, developing Bayesian deep learning models for financial forecasting.

Scientific Research — Astrophysics
Developed Bayesian statistical methods and HPC software for analysing cosmological datasets from major space telescope missions.

🛰️ I once co-wrote a C++ simulation to model exoplanet orbits — and the work contributed to the discovery of three planets.

I'm always interested in discussing ideas at the intersection of:

• machine learning
• science-inspired AI
• geospatial intelligence
• efficient and data-lean AI systems

If you're building something interesting in this space, I'd love to hear about it.