Principal Engineer · ML / AI

I build machine learning and AI systems for professional sport.

I love data science, and I love sport — tennis and football especially. What drives me is building systems that bring both together in live settings: infrastructure that runs during a match, processes tracking data in real time, and turns it into products people actually use. The mathematical foundation came through a diploma in maths and a PhD in inverse problems, but the past eight years have been about one thing — shipping.

01 / What I work on
01

Generative AI

LLM applications, RAG systems and AI assistants that turn complex analytics into language teams can actually use.

02

Tennis & Sports Analytics

Shot-quality models, win probability and tactical analysis — turning every rally into actionable intelligence.

03

Inverse Problems

The research core behind it all — recovering causes from data, using differentiable optimization like backpropagating through PDE solvers.

02 / Experience
Principal Engineer, AI & ML
Sportradar · Zürich
2025—
Lead Data Scientist — GenAI
Stats Perform
2024—25
Lead Data Scientist — Tennis AI
Stats Perform
2021—23
Lead Data Scientist
Tennis Australia
2020—21
Senior Data Scientist
Sportec Solutions
2020
Senior DS — Football Analytics
SciSports
2019
Head of Data Science
ParkHere
2018
PhD, Computer Science
TU Munich
2012—18
03 / Selected work
Tennis · Stats Perform & Tennis Australia

Tennis AI, live at the Grand Slams

Real-time analytics powering broadcast and coaching insight across the ATP/WTA tours and Grand Slam events.

Live win probability Shot-quality models Counter-factual analysis
Selected publications
Live Counter-Factual Analysis in Women’s Tennis
MIT Sloan Sports Analytics · 2022
PDF ↗
Dissecting the Tennis Rally
MIT Sloan Sports Analytics · 2021
PDF ↗
Full Waveform Inversion for Nondestructive Testing (PhD Thesis)
TU Munich · 2018
04 / Reading & listening
Books on judgement & probability

The foundational work on cognitive biases and dual-process theory — System 1 vs System 2 thinking.

View on Amazon ↗

Why variability in human judgment causes errors across medicine, law and business decisions.

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How we mistake luck for skill. Essential reading on probability and risk perception.

View on Amazon ↗

A poker champion’s guide to making better decisions under uncertainty — separating outcomes from process.

View on Amazon ↗

The friendship between Kahneman and Tversky that revolutionized how we understand the mind.

View on Amazon ↗

How the Oakland A’s used data analytics to compete against bigger budgets. Changed sports forever.

View on Amazon ↗
Podcasts
The Tim Ferriss ShowListen ↗ Lex Fridman PodcastListen ↗

A running list of the books and conversations that shape how I think about decision-making, probability and modelling the world.

Browse the full list →

Let’s talk.

Interested in ML, generative AI, or sports analytics? I’m always happy to compare notes.