CV
Contact Information
| Name | Jialin Song |
| Professional Title | Ph.D. Student in Computing Science |
| jialin_song@sfu.ca | |
| Website | https://scholar.google.com/citations?user=-zPtvfsAAAAJ&hl=en |
Experience
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2025 - 2026 Redmond, WA
Research Intern
Microsoft Research
Deep Learning Group and Catalyst Lab
- Working on LLM jailbreak and agentic safety.
- May-Aug 2026 and May-Sep 2025 full-time, Oct 2025-Apr 2026 part-time.
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2022 - 2024 Berkeley, CA
Machine Learning Engineer
International Computer Science Institute (ICSI)
- Worked on robustness and scientific machine learning projects.
Education
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2024 - 2028 Burnaby, BC, Canada
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2021 - 2022 Berkeley, CA, U.S.
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2017 - 2020 Worcester, MA, U.S.
B.S.
Worcester Polytechnic Institute
Computer Science and Robotics Engineering (Double Major)
- Graduated with high distinction
Research Projects
Publications
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2026 MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
ICML 2026
J. Song, X. Liu, W. Yang, W. Chen, M. Feng, X. Zhu, J. Gao
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2026 FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction
CVPR 2026
Y. Liu*, J. Song*, M. Chanlatte, R. Chowdhury, R. Desai, W. Chen, D. Martin, M. W. Mahoney
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2026 Learning earthquake ground motions via conditional generative modeling
Nature Communications
P. Ren, I. Naiman, M. Lacour, R. Nakata, N. Nakata, J. Song, Z. Bi, O. A. Malik, D. Morozov, O. Azencot, N. B. Erichson, M. W. Mahoney
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2025 PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
ICML 2025
M. Soroco*, J. Song*, M. Xia, K. Emond, W. Sun, W. Chen
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2025 Learning Spatiotemporal Dynamics from Sparse Data via a High-order Physics-encoded Network
Computer Physics Communications, 2025
P. Ren*, J. Song*, C. Rao*, Q. Wang, Y. Guo, H. Sun, Y. Liu
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2025 HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
ACES 2025
J. Song*, Y. Tang*, P. Ren, N. B. Erichson, M. W. Mahoney, J. Z. Yao
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2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NeurIPS 2024
W. Chen*, J. Song*, P. Ren, S. Subramanian, D. Morozov, M. W. Mahoney
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2024 Learning Spatiotemporal Dynamics From Sparse Measurements
Machine Learning: Science & Technology, 2024
J. Song*, Z. Song*, P. Ren, N. B. Erichson, M. W. Mahoney, X. S. Li