Chiho Im

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I'm a PhD Candidate in the Computer Science Department at Stanford University, where I'm advised by professors Anshul Kundaje and Scott Boyd. Previously, I did research in the Bonnie Berger Lab at MIT, where I earned my bachelor's and master's degrees. My research lies at the intersection of machine learning, biology, and healthcare. Specifically, I am interested in developing innovative machine learning methods that integrate data-driven learning with prior knowledge, applying them to uncover new biological insights and advance precision medicine. My work is generously supported by the Stanford Bio-X Fellowship.



Research

* denotes equal contribution

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
Rohan V. Koodli, Alexander S. Powers, Ayush Pandit, Chiho Im, Ron O. Dror
Machine Learning for Structural Biology Workshop at Neural Information Processing Systems (NeurIPS), 2025




Somatic Hypermutation Informed Vocabulary Encoder Representations
Chiho Im, Artem Mikelov, Ryan Zhao, Anshul Kundaje, Scott D. Boyd
The 20th Meeting on Machine Learning in Computational Biology (MLCB). PMLR, 2025 (Spotlight)
[code]




Sequence-based TCR-Peptide Representations Using Cross-Epitope Contrastive Fine-tuning of Protein Language Models
Chiho Im, Ryan Zhao, Scott D. Boyd, Anshul Kundaje
The 29th International Conference on Research in Computational Molecular Biology (RECOMB), 2025
[code]




Learning the Language of Antibody Hypervariability
Rohit Singh*, Chiho Im*, Yu Qiu, Brian Mackness, Abhinav Gupta, Taylor Joren, Samuel Sledzieski, Lena Erlach, Maria Wendt, Yves Fomekong Nanfack, Bryan Bryson, Bonnie Berger
Proceedings of the National Academy of Sciences (PNAS), 2024
[code] [MIT News] [Science, Expert Voices]