About Me

I am an MSc student in Computer Science at the University of São Paulo (IME-USP), advised by Prof. Nina S. T. Hirata. My research lies at the intersection of Large Language Models, Geometric Deep Learning, and AI for Science.

Previously, I was a research intern at IBM Research, working on geometric deep learning for materials science with Dr. Mathias Steiner’s team. I was also a research intern at the University of Texas at Austin, hosted by Prof. Zhangyang “Atlas” Wang (VITA Group), where I worked closely with Prof. Junyuan “Jason” Hong on Large Language Models. I received my BSc in Computer Science from IME-USP.

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News

• 2026-01 Co-authored paper on prompt optimization for autonomous driving accepted at ICRA 2026.
• 2026-01 Geodite preprint is out.
• 2026-01 Started my MSc in Computer Science at the University of São Paulo (IME-USP).

Selected Publications

• Equivariant Interatomic Potentials without Tensor Products.
  T. Reschützegger, S. Aykent, Gabriel Jacob Perin, B. H. Nunes, F. Cipcigan, R. N. B. Ferreira, M. Steiner, F. L. Thiemann.
  Preprint 2026 [Paper] [Code] [Model]
• LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning.
  Gabriel Jacob Perin, R. Chen, X. Chen, N. S. T. Hirata, Z. Wang, J. Hong.
  COLM 2025 [Paper] [Code]
• RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models.
  Gabriel Jacob Perin, X. Chen, S. Liu, B. Kailkhura, Z. Wang, B. Gallagher.
  ACL 2024 (Findings) [Paper] [Code]
• Few-shot Retinal Disease Classification on the Brazilian Multilabel Ophthalmological Dataset.
  Gabriel Jacob Perin, N. S. T. Hirata.
  SIBGRAPI 2024 [Paper] [Code]

Other

• Undergraduate Thesis.
• Teaching Assistant — Introduction to Machine Learning (IME-USP, 2025).
• FAPESP Research Scholarship and BEPE International Fellowship recipient.
• Languages: Portuguese (native), English (fluent), Spanish (basic).