Complicated problems are my favorite kind. I like breaking them down, untangling messy data, and turning it into clear stories that spark action. I’ve built analytics foundations end-to-end — pipelines, models, experiments, dashboards. My sweet spot is digital product and growth analytics, where I get to connect numbers with business outcomes (and have some fun in the process).
I’m in the process of adding more public projects here. For now, a few highlights:
- Studing and practicing methods to evaluate the performance and impact of AI models
- Thinking about empirical analysis as applied to AI:
- What measurement methods exist in other industries that could be applied here? For example, could certain principles of psychometrics be applied to an LLM?
- How can we overcome the fundamental challenge of reproducibility with AI models?
- How much randomness is there in a model? Does it apply to all elements (words, numbers), and does it change over time?
Outside of analytics, I:
- Freedive, swim, and stand-up paddleboard
- Carve wooden spoons and love to cook
- Tinker and learn new things (currently: AI tools and acoustic guitar)
