| ID | Forename | Surname | Affiliation |
|---|---|---|---|
| 1 | Onyu | Choi | Unknow |
quirky-honey
United States
Description and Rationale
I’m an undergraduate university student entering solo as an independent participant. My coursework includes optimization and programming (Python), and I’ve been building small applied-ML projects to learn the craft.
I registered because taxi-out prediction is a problem where a better model has a direct physical payoff — less fuel burned and fewer emissions on the ground. That makes it more motivating than a synthetic benchmark. The challenge’s open-science setup (open data, public code, open-access publication) is also exactly how I want to learn: working in public, reproducibly, against a strong field.
My goal is a clean, well-documented solution and a top-half finish — and to come out of it with a portfolio piece I’m proud of.
Details
- Type: Independent
- Country: United States
- Number of team members: 1