Young Jin Park

About

I build more reliable and efficient AI systems at scale. From robotics to recommender systems to LLMs, I've consistently tackled each era's most critical challenges with cutting-edge solutions.

I'm currently pursuing my PhD at MIT while leveraging 4+ years of experience deploying billion-scale models at Meta and NAVER AI Lab. My work focuses on translating cutting-edge research into high-impact products.

Research Areas

World Modeling, End-to-End Autonomy, Large Reasoning Models, AI Safety & Alignment, Personalization

Topics

Uncertainty Quantification, Sequential Decision Making, Inference-time Scaling, Reward Modeling

Selected Publications

Full publication list available at Google Scholar

2025

Know What You Don't Know: Uncertainty Calibration of Process Reward Models

Y.J. Park, K. Greenewald, K. Alim, H. Wang, and N. Azizan

Neural Information Processing Systems (NeurIPS), 2025 [Featured on MIT News]

Paper Project Page Slides

Test-Time Scaling in Clinical Decision Making: An Empirical and Analytical Investigation

J.Y. Byun, Y.J. Park, N. Azizan, and R. Chellappa

Medical Imaging with Deep Learning (MIDL), 2026

Paper

2024

Quantifying Representation Reliability in Self-Supervised Learning Models

Y.J. Park, H. Wang, S. Ardeshir, and N. Azizan

Conference on Uncertainty in Artificial Intelligence (UAI), 2024 [Spotlight @ 2023 RSS Workshop]

Paper Slides Poster

2022

A Large-Scale Ensemble Learning Framework for Demand Forecasting

Y.J. Park, D. Kim, F. Odermatt, J. Lee, and K.M. Kim

IEEE International Conference on Data Mining (ICDM), 2022 [Oral Presentation; Top 9.77%]

Paper Slides

2021

Distilling a Hierarchical Policy for Planning & Control via Representation and Reinforcement Learning

J.S. Ha*, Y.J. Park*, H.J. Chae, S.S. Park, and H.L. Choi

IEEE International Conference on Robotics and Automation (ICRA), 2021

Paper

2018

Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems

J.S. Ha, Y.J. Park, H.J. Chae, S.S. Park, and H.L. Choi

Neural Information Processing Systems (NeurIPS), 2018

Paper