Consulting
Machine learning consulting by Christoph Molnar. Code reviews, model interpretation, and ML best practices.
With 16,000+ citations and years bridging ML research and practice, I help teams make better modeling decisions – from choosing the right interpretability method to identifying blind spots in the pipeline.
How I Can Help
- Code & model review – I audit your ML code, models, and papers for correctness, best practices, and potential pitfalls.
- Interpretability strategy – I help you choose and implement the right interpretability methods for your use case, from SHAP to model-agnostic techniques.
- Modeling process audit – I identify weaknesses in your ML pipeline: data leakage, evaluation gaps, and overlooked assumptions.
- Team workshops – I run focused sessions on interpretable ML or statistical modeling for your data science team.
Ready to Get Started?
Or write to chris@christophmolnar.com directly.
TipMindful Modeler Newsletter
I write about machine learning with statistical mindfulness — interpretability, uncertainty, and topics beyond predictive performance.