Sports Data Scientist · Endurance Athlete
I implement ATL/CTL/TSB performance models from raw HR sensor data — the same mathematics behind Garmin Training Status, Strava Fitness & Freshness, and Wahoo SYSTM. Ironman finisher, ultra runner in training, PhD in precision measurement. Looking for a data role where the signal actually matters.
Training Data
Performance Management · Bromont 80K Build
Long Run Log ≥ 20 km
| Date | Name | Distance | Elevation | Pace | Avg HR | TSS |
|---|
Recovery & Readiness · Garmin Connect
Training × Recovery · Cross-Analysis
Recent Activities
Projects
Full Performance Management Chart pipeline computed from raw Strava heart rate data. Implements the ATL/CTL/TSB model (Banister 1975 / Coggan 2003) — the exact model behind Garmin Training Status, Strava Fitness & Freshness, and Wahoo SYSTM. hrTSS per activity, EMA-filtered daily, visualised with Plotly.
More projects dropping as the ultra build progresses.
About
I'm a fourth-year PhD candidate at the Institute for Quantum Computing, Waterloo, where I build precision photonic experiments and the data pipelines that make sense of them. The work requires the same thing good sports analytics does: extracting clean signal from noisy, high-dimensional data under time pressure.
I'm an Ironman finisher (11:17:33), have run a 1:27 half marathon and a 3:23 marathon, and I'm currently deep in training for the Bromont 80K ultra in October 2026 — building CTL with every early morning run. Every activity goes into a dataset I analyse with the same tools that power Garmin and Strava.
I'm looking to bring precision science to a sport tracking company — modelling training load, processing sensor streams, and building tools that help millions of athletes make smarter decisions.
Contact
If you're building athlete-facing data products at a sport tracking company and need someone who can implement the models, process the sensor streams, and has the PRs to prove they actually use the product — reach out.
"It's the questions we can't answer that teach us the most."— Patrick Rothfuss, The Name of the Wind