Jaehyun Nam
Incoming Research Scientist at Google
Ph.D. at KAIST AI
jaehyun.nam [AT] kaist.ac.kr
About
I am an incoming Research Scientist at Google Cloud AI. My research interests are centered on diverse topics, including Agentic AI, multi-agent systems, large language models, and tabular learning. Previously, I received my Ph.D. and M.S. in Artificial Intelligence from KAIST under the supervision of Jinwoo Shin, and a B.S. in Industrial Engineering from Seoul National University (SNU).
Publications
(*: Equal contribution)
MARS: Modular Agent with Reflective Search for Automated AI Research
Jiefeng Chen, Bhavana Dalvi Mishra, Jaehyun Nam, Rui Meng, Tomas Pfister, Jinsung Yoon
Preprint, 2026
DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Raj Sinha, Jinwoo Shin, Tomas Pfister
Preprint, 2025
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arık, Tomas Pfister
Conference on Neural Information Processing Systems (NeurIPS), 2025
FontAdapter: Instant Font Adaptation in Visual Text Generation
Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin
Preprint, 2025
Training Text-to-Molecule Models with Context-Aware Tokenization
Seojin Kim*, Hyeontae Song*, Jaehyun Nam, Jinwoo Shin
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025, Findings
NeurIPS Workshop on AI for New Drug Modalities (NeurIPSW-AIDrugX), 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam*, Kyuyoung Kim*, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
Tabular Transfer Learning via Prompting LLMs
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin
Conference on Language Modeling (COLM), 2024
ICML Workshop on Efficient Systems for Foundation Models (ICMLW-ES-FoMo), 2023
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
International Conference on Machine Learning (ICML), 2024
NeurIPS Workshop on New Frontiers of AI for Drug Discovery and Development (NeurIPSW-AI4D3), 2023
Holistic Molecular Representation Learning via Multi-view Fragmentation
Jaehyun Nam*, Seojin Kim*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
Transactions on Machine Learning Research (TMLR), 2024
ICLR Workshop on Machine Learning for Materials (ICLRW-ML4Materials), 2023
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2024
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
NeurIPS Workshop on Table Representation Learning (NeurIPSW-TRL), 2022
Bronze Prize, Samsung Humantech Paper Awards, 2023
Recipient, Google Conference Scholarships (APAC), 2023
Travel Award, International Conference on Learning Representations (ICLR), 2023
Grand Prize, KAIST-Samsung Electronics Industry-Academia Cooperation Paper Award, 2023
MARS: Modular Agent with Reflective Search for Automated AI Research
Jiefeng Chen, Bhavana Dalvi Mishra, Jaehyun Nam, Rui Meng, Tomas Pfister, Jinsung Yoon
Preprint, 2026
DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Raj Sinha, Jinwoo Shin, Tomas Pfister
Preprint, 2025
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arık, Tomas Pfister
Conference on Neural Information Processing Systems (NeurIPS), 2025
FontAdapter: Instant Font Adaptation in Visual Text Generation
Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin
Preprint, 2025
Training Text-to-Molecule Models with Context-Aware Tokenization
Seojin Kim*, Hyeontae Song*, Jaehyun Nam, Jinwoo Shin
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025, Findings
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam*, Kyuyoung Kim*, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
Tabular Transfer Learning via Prompting LLMs
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin
Conference on Language Modeling (COLM), 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
International Conference on Machine Learning (ICML), 2024
Holistic Molecular Representation Learning via Multi-view Fragmentation
Jaehyun Nam*, Seojin Kim*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
Transactions on Machine Learning Research (TMLR), 2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2024
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Education
Korea Advanced Institute of Science and Technology (KAIST)
Ph.D. in Artificial IntelligenceSep. 2023 - Feb. 2026
M.S. in Artificial IntelligenceMar. 2022 - Aug. 2023
Seoul National University (SNU)
B.S. in Industrial Engineering and Mathematical Sciences (minor)Mar. 2016 - Feb. 2022
Experience
Google Cloud AI ResearchMar. 2025 - Feb. 2026
Student Researcher, hosted by Jinsung Yoon
SK HynixDec. 2020 - Feb. 2021
Intern, AI Solution
Military ServiceMar. 2018 - Feb. 2020
Republic of Korea Air Force
Honors and Awards
Reviewer Award, International Conference on Learning Representations (ICLR) Mar. 2025
Grand Prize, KAIST-Samsung Electronics Industry-Academia Cooperation Paper Award Aug. 2023
Travel Award, International Conference on Learning Representations (ICLR) May. 2023
Recipient, Google Conference Scholarships (APAC) May. 2023
Bronze Prize, Samsung Humantech Paper Awards Feb. 2023
Special Prize, National Cryptograpy Contest Oct. 2021
Recipient, Hanseong Scholarship for Gifted Students 2014 - 2016
Academic Services
Conference Reviewer NeurIPS, ICLR, AISTATS, COLM, ICCV, ICML, CVPR
Workshop Reviewer TRL@NeurIPS
Invited Talks
Rethinking Tabular Learning in the Era of LLMs
HYPERCONNECT AI (Seoul, Korea)Nov. 2025
AI Agents for Data Science
MongooseAI (Seoul, Korea)Dec. 2025
Korea Open AGI Symposium (Seoul, Korea)Oct. 2025
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Samsung Advanced Institue of Technology (Suwon, Korea)Jun. 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
AI Expo Korea (Seoul, Korea)May. 2023
International Conference on Learning Representations (Kigali, Rwanda)May. 2023
Samsung Electronics Co., Ltd. (Virtual)Mar. 2023
MOGAM Institute for Biomedical Research (Virtual)Mar. 2023
Privacy-preserving Median Selection and Secure Aggregation in Federated Learning
Korean Mathematical Society Fall Meeting (Virtual)Oct. 2021
Special Prize, National Cryptography Contest, 2021