Timo Bröhl

I'm a physicist (Dr. rer. nat., summa cum laude) with 7+ years of hands-on research experience at the intersection of physics, medicine, and data science. My work combines rigorous mathematical modeling with applied machine learning — from EEG signal analysis and brain network dynamics to epidemic spreading models and predictive algorithms for critical care.

I bring a rare combination of deep analytical thinking, strong Python engineering (SciPy, pandas, scikit-learn, PyTorch, MNE), and the ability to translate complex findings into actionable insights for non-technical stakeholders — including ministries, clinical teams, and the general public.

What I can do for you:

Build and deploy ML models on complex, noisy real-world data

Design and analyze graph/network-based data structures (Graph ML, GNNs)

Time-series analysis, anomaly detection, signal processing

Scientific consulting: funding landscapes, research strategy, policy briefings

Set up and administer HPC environments and scalable Python pipelines

Track record: 20+ peer-reviewed publications, h-index 13, 19 international conferences, DFG-funded projects.

I work fully remote and communicate fluently in German and English.