Physicist and data scientist — bridging the gap between fundamental science and intelligent systems.
I think about data the way physicists think about the universe: there are patterns everywhere, and the right model can reveal them. I work at the intersection of physics, machine learning, and data science, building tools and models that make sense of complex systems.
- 🧠 Exploring ML models inspired by physical systems
- 📊 Data pipelines and analytics for scientific datasets
- 🤖 Experimenting with AI applications in research workflows
Languages
ML / Data
Tools & Infra
"Not everything that counts can be counted, and not everything that can be counted counts."