# Ryan McComb

> Data Science Fellow | Evanston, United States

hey hey, my name is ryan!
Most of my interests sit in some broad cross-section of elections, economics, and AI/inference. Outside of being a nerd, I swim quite a bit for my club and high school teams. In my free time I like to shoot photos, it’s a hobby of mine, and every once in a while I’ll shoot for the Chicago Union, our local pro ultimate frisbee team.

I work as a Data Science Fellow at VoteHub, mostly on racecall and the occasional election model. I originally came on to help with our midterm model, including a small program that normalizes Kalshi odds.

## Profile Data
- [Profile](https://path.cv/rmccomb): Full professional profile
- [facts.json](https://path.cv/rmccomb/facts.json): Structured JSON with professional data
- [profile.md](https://path.cv/rmccomb/profile.md): Markdown resume
- Last updated: August 2026

## Current
Data Science Fellow at VoteHub

## Experience
- Data Science Fellow at VoteHub (Feb 2026 – Present)
- Swim Instructor at YWCA (Jan 2025 – Present)
- Lakefront Lifeguard at Evanston Fire Department (Jun 2026 – Aug 2026)
- Volunteer Finance Lead at Daniel Biss for Congress (IL-9) (Oct 2025 – Mar 2026)

## Skills
Election Forecasting, Prediction Markets, Data Journalism, Machine Learning, Statistical Modelling, Campaign Finance Analysis, Topographic Mapping, LLM Fine-tuning

## Projects
- [IL9Cast](https://il9.org/): A forecasting aggregator for the IL-9 Democratic primary combining prediction markets, polling, and fundraising data.
- FUNDY: A Bayesian model predicting candidates' end-of-quarter fundraising from daily itemized FEC data.
- Seiche: A live model forecasting Lake Michigan water temperature using quantile gradient-boosting models.
- Manifold Prediction Market Trader: Active trader ranked in the top 50 by volume and top 0.25% by profit.

## Education
- High School Diploma, Evanston Township High School

## Links
- [Personal Website](https://mccomb.ca/)