About
I am a Ph.D. candidate in Computer Science and Engineering at the University of Notre Dame, advised by Dr. Danny Chen. I build scalable machine-learning and computer-vision systems for real-world, data-limited environments. I received my M.S. in Computer Science and Engineering from Notre Dame in 2024 and expect to complete my Ph.D. in December 2026.
Outside academia, my research experience spanned Amazon, where I worked on reinforcement learning and multimodal generative systems, Mayo Clinic, where I developed pathology foundation models and scalable healthcare AI, and IBM, where I built large-scale predictive models for user behavior and conversion.
Research Interests
- Foundation Models Pretraining and scalable multimodal learning.
- Post-training Adaptation Reinforcement learning for diffusion/flow-based generative models.
- Computer Vision Data-efficient and data-prior-guided vision architecture.
- Healthcare AI Medical imaging, computational pathology, long surgical video understanding, and biomedical discovery.
News
2026
- 08/2026: 👨🏻💻 Started Applied Scientist Internship at Amazon.
- 07/2026: 📚 Paper on Pathology Foundation Models accepted to MedFMB @ ECCV 2026: BM1b.
- 06/2026: 📚 Paper on Surgical Video Segmentation accepted to MICCAI 2026: D-GEM.
- 01/2026: 📚 Paper on data-efficient ViTs with KANs accepted to ISBI 2026: UKAST.
Previous news (2020–2025)
- 11/2025: 📚 Co-authored paper accepted to BIBM 2025: HCNN-ViT.
- 08/2025: 👨🏻💻 Resumed Computational Pathology and AI internship at Mayo Clinic.
- 05/2025: 👨🏻💻 Started Data Science and AI internship at IBM.
- 02/2025: 📚 Paper on heterogeneous-data training accepted to Nature Scientific Reports.
- 08/2024: 🎓 Defended my Ph.D. Candidacy Exam and received my M.S. in CSE.
- 02/2024: 📚 Four papers, including two first-author papers, accepted to ISBI 2024.
- 05/2023: 📚 Co-authored paper accepted to MICCAI 2023.
- 01/2023: 📚 Co-authored paper accepted to ISBI 2023.
- 10/2022: 📚 Two co-authored papers accepted to BIBM 2022.
- 05/2021: 🎉 Passed Ph.D. Qualifiers Exam.
- 08/2020: 🧑🏻🏫 Started Ph.D. at the University of Notre Dame.
- 05/2020: 🎓 Graduated from USM with B.S. degrees in Computer Science and Mathematics.
Selected Publications
BM1b: Data-Efficient Scaling of Bone Marrow Foundation Models through Domain-Specific Self-Supervised Learning and Dense Morphology-Preserving Representation Learning. MedFMB @ ECCV 2026
Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory. MICCAI 2026
When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation. IEEE ISBI 2026