Amir Ata Ghaffarian

Research Intern @ OIST · Machine Learning & Genomics

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I’m a Research Intern in the Genomics & Regulatory Systems Unit at OIST, working with Prof. Nicholas Luscombe and Dr. Charles Plessy. I use self-supervised learning and graph neural networks to decode how genomes rearrange across the tree of life.

I hold a B.Sc. in Computer Science from Amirkabir University of Technology (GPA 4.0/4.0, ranked 3rd in my cohort). Before OIST I worked as a DevOps engineer and interned in SRE and backend engineering, so I care about reproducible pipelines as much as about models.

I’m interested in world models, reinforcement learning, embodied AI and computational biology, and I’m applying for Ph.D. positions starting in 2027.

news

Oct 05, 2026 Released gsp-fourrooms, a from-scratch reproduction of Goal-Space Planning with Subgoal Models (JMLR 2024), with an interactive report.
Jun 11, 2026 Started MyTorch, a deep learning framework built from scratch to learn how PyTorch works.
Feb 01, 2026 Joined the Genomics & Regulatory Systems Unit at OIST as a Research Intern.
Aug 01, 2025 Joined ICT Group as a DevOps Engineer.