AI-assisted forecasting
Investigating how machine learning can support weather prediction while keeping uncertainty, evaluation, and operational usefulness in view.
- Weather prediction
- Uncertainty-aware evaluation
- Human-centered forecasting
I’m Howard Hottinger, a Computer Science PhD student working at the intersection of machine learning, weather, and real-world systems.
Research focus
Investigating how machine learning can support weather prediction while keeping uncertainty, evaluation, and operational usefulness in view.
Building reliable training and evaluation workflows for data-intensive scientific problems.
Turning repetitive research tasks into practical tools that make complex work easier to run, inspect, and trust.
Featured work
All projectsActive research
Exploring machine-learning approaches to weather prediction, with an emphasis on rigorous evaluation and practical forecasting value.
In development
Practical tooling for moving from raw scientific data to repeatable experiments and inspectable results.
Ongoing
Evaluation practices that make model comparisons clearer, more honest, and more useful than a single headline metric.
Latest notes
All writingAbout Howard
I enjoy building things that turn complicated ideas, messy data, and long-running experiments into systems people can understand and use.
More about me