About Me
I'm Saiyang Na, a Computer Science Ph.D. candidate supervised by Dr. Junzhou Huang in Computer Science Department at University of Texas at Arlington, USA. I focus on creating open-source libraries with JAX and Python for deep learning and LLM applications.
Research
- Cell Segmentation - Auto-prompt generation pipeline for SAM
- Protein-Protein Interaction - TCR-pMHC binding prediction
- Deep Learning in Hyperbolic Space - MCI classification
- Retrosynthesis - Multi-step retrosynthesis on USPTO dataset
Projects
- nadl - A deep learning framework based on JAX and Equinox
- jaxrie - A JAX hyperbolic neural networks library
- naipyext - IPython Extensions with better trace exception
- Segment Any Cell Demo
Skills
Expert: Python, JAX with Equinox, PyTorch, NumPy
Proficient: TensorFlow with Keras, Lisp (Emacs Lisp), LLM
Familiar: Haskell, JavaScript, C/C++
Publications
- Thao M Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na et al., (2025), “Abnormality‑aware multimodal learning for WSI classification”, Frontiers in Medicine
- Qifeng Zhou, Thao M Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na et al., (2025), “MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs”, arXiv preprint arXiv:2502.07221
- Saiyang Na et al., (2024), “Segment Any Cell: A SAM‑based Auto‑prompting Fine‑tuning Framework for Nuclei Segmentation”, TNNLS (In Revision)
- Bing Song, Kaiwen Wang, Saiyang Na et al., (2024), “Cmai: Predicting Antigen‑Antibody Interactions from Massive Sequencing Data”, Nature Cancer (To Appear)
- Bing Song, Kaiwen Wang, Saiyang Na et al., (2024), “An Artificial Intelligence Model for Profiling the Landscape of Antigen‑binding Affinities of Massive BCR Sequencing Data”, bioRxiv
- Thao M Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na et al., (2024), “Multiple Foundation Model Fusion Networks for Whole Slide Image Classification”, Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
- Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na et al., (2024), “AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3”, Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
- Lu Zhang, Saiyang Na et al., (2023), “Multimodal deep fusion in hyperbolic space for mild cognitive impairment study”, MICCAI (Oral)
- Xinyue Ye, Jiaxin Du, Xi Gong, Saiyang Na et al., (2021), “Geospatial and semantic mapping platform for massive COVID‑19 scientific publication search”, Journal of Geovisualization and Spatial Analysis