“Half physicist, half data scientist! occasionally mistaken for an engineer.”
I build models, tools, and ideas that live somewhere between data science and optimization.
Sometimes that means writing Python tools for energy systems, sometimes teaching at universities,
and sometimes just experimenting with things I have no clue about (yet).
MixedForm XR
AR/MR platform for visualizing industrial equipment at full scale.
Meta Quest + Unity. Visit mixedform.com to learn more.
Battery Optimizer
Python + CVXPY model for battery dispatch with day-ahead pricing.
Rolling optimization, degradation costs, and a healthy respect for constraints.
Teaching Three Courses
Big Data & BI · Applied NLP · Inference & Causality
Each session comes with open-source Jupyter notebooks for hands-on experiments
because my students are BSc/MSc CS & AI students.
| Project | What it does | Tech Highlights |
|---|---|---|
| Energy Storage Strategy | Year-long battery operation optimization | CVXPY · Pandas · Matplotlib |
| Topic Explorer | NLP dashboard for large corpora (English & German) | Streamlit · LDA · spaCy |
| NLP Course Series | A series of 7 lectures on using NLP to quantify literature | nltk · LDA · spaCy |
| Big Data and Business Intelligence Course Series | A series of 6 lectures on using BD and BI for MSc students in BD and AI program | Streamlit · Spark · SQL |
| Inference and Causality Course Series | A series of 12 lectures in 6 repos on inference and causality, causal DAGs, Do-calculus, etc. for MSc students in BD and AI program | Matplotlib · Numpy · Pandas |