About
I'm Sungjin (Jin) Park, a Senior Applied Scientist at Microsoft Research Cambridge. I received my PhD from KAIST, advised by Edward Choi, and my Master's degree from KAIST under the guidance of Sooyoung Lee. During my studies, I had the pleasure of interning at Microsoft Research Asia in Beijing with Xiao Liu and in Vancouver with Yuhang He.
My current research interests lie in multimodal learning and reinforcement learning for remote collaboration environments.
News
- Apr 2026 Joined Microsoft Research Cambridge as a Senior Applied Scientist.
- Feb 2026 Received PhD in Artificial Intelligence from KAIST.
- 2025 Two papers currently under review.
Publications
Conference
Lifelong Chart-to-Code Generation via LLM-Driven Multimodal Data Synthesis
Under ReviewReward-Guided Decoding as Shallow Fusion
Under ReviewEnsembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
NAACL 2025 PDFJournal
Unsupervised Multi-sense Language Models For Natural Language Processing Tasks
Neural Networks, Vol. 142, 2021 PDFPreprint
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders
arXiv:2003.06581 PDFExperience
Work
Microsoft Research
Cambridge, UKSenior Applied Scientist
2026 – Present
Microsoft
Vancouver, CanadaResearch Intern
Apr 2025 – Jul 2025
- Applied reinforcement learning to enhance system domain coding in large language models.
- Enhanced chart-to-code capabilities of vision-language models through LM-driven data synthesis.
Microsoft Research Asia
Beijing, ChinaResearch Intern
Sep 2024 – Mar 2025
- Developed reward-guided tree search for complex reasoning via LLM ensembling.
- Investigated the effect of fine-grained rewards on math reasoning.
Education
KAIST
Daejeon, KoreaPh.D. in Artificial Intelligence
Sep 2020 – Feb 2026
- Advisor: Prof. Edward Choi
KAIST
Daejeon, KoreaM.S. in Electrical Engineering
Sep 2018 – Aug 2020
- Advisors: Prof. Sooyoung Lee, Prof. Daeshik Kim
KAIST
Daejeon, KoreaB.S. in Electrical Engineering
Mar 2014 – Aug 2018
Academic Service
Reviewer
CHIL 2023, EMNLP 2023, ACL 2024, ICLR 2025-2026, NeurIPS 2025-2026, ARR 2024-2026
Teaching Assistant
AI504 Programming for AI — Fall 2020, 2021, 2022, 2023
AI612 Machine Learning for Healthcare — Spring 2021, 2022, 2023
Talks
Electronic Health Records and Medical Text — Tutorial @ KOSAIM 2021 Summer School
K-MOOC
Introduction to Medical AI — 2021