Young-Jin Park

Young-Jin Park

PhD Candidate @ MIT • Graduating 2026

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

Recent Posts

From Reasoning to World Models for Reliable AI
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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]
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
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]
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%]
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
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