Youngjae Cho

I design learning methods for noisy, scarce, and shifting supervision — and ship them to production.

First- or co-first-author work at NeurIPS 2026 (accepted), ICML 2023, and AAAI 2024 — from robust learning to MLLM post-training.

ML Research Engineer @ Pyler  ·  ex-Aiv  ·  M.S./B.S. KAIST