Writing, projects, publications, talks, and courses.
16 results for “Research”
Co-hosting with Prof Phakeng on a different way to think about AI — using it to strengthen your own thinking rather than replace it. We explore how AI can challenge your assumptions, improve your writing, and deepen your understanding of a research problem.
A hands-on course for professionals who want to use AI tools to write better, research faster, manage projects, and make decisions with data. No programming. Just practical skills you can use on Day 1.
Learn to build AI agents that automate real tasks: job hunting, research, scheduling, and business operations. The same approach I demonstrated on FabAcademic with Prof Phakeng.
Developed ML models for long-range seasonal temperature forecasting, outperforming traditional numerical weather prediction at extended lead times. Published during IBM Research Africa tenure, integrated into climate intelligence workflows.
Public AI conversation is split between hype and inaccessible research, with little plain explanation of what building with these systems actually involves.
A daily probabilistic forecast model predicting 2m temperature and total precipitation globally, closing the skill gap between numerical weather prediction and seasonal forecasting. Combines physics-based ensembles, climate modes and recent climatology into features for Extreme Gradient Boosting, U-Net and Natural Gradient Boosting, and consistently outperforms ECMWF 46-day forecasts and climatology. Co-authored across IBM Research South Africa, Kenya, Brazil and the US.
The course I wish existed when I moved from research to industry. How to build ML systems that survive real data, real users, and real organizational constraints. Based on lessons from Vodacom, ABSA, and IBM.
Projects across open source, telecoms, banking, research, and education.
Youth Explorer uses data collected in Census 2011 on challenges facing the youth, enabling researchers and policy-makers to focus on areas of concern.
Municipalities held data relevant to performance and service delivery, but not in a form that supported planning or operational decisions.
Our follow me turtle bot project, used python and ROS to design turtle-bot that follows an object. This was done at the Witwatersrand University school of Computer Science and Applied Mathematics.
creating from 1st principles
Peer-reviewed papers, preprints, and thesis work.
Scientists have discovered 300,000 new galaxies in a recent study. This discovery has significant implications for our understanding of the universe.
The job hasn't disappeared. The mental model has changed. Here's what the roadmap looks like for data scientists and engineers entering (or navigating) the AI agent era, with a South African lens.
Climate and environmental questions need satellite and geospatial data at petabyte scale, too large to treat as an ordinary dataset, and almost no organisation can process it alone.