About
I am a Ph.D. candidate in Computer Science and Engineering at the University of Notre Dame, advised by Dr. Danny Chen. My research focuses on building scalable machine learning and computer vision systems for real-world, data-limited environments, particularly in healthcare.
My work lies at the intersection of:
- Foundation-model pretraining and scalable multimodal learning
- Post-training adaptation of diffusion/flow-based vision-language models using reinforcement learning
- Data-efficient and data-prior-guided computer vision architectures
- AI for healthcare and biomedical discovery
Alongside my academic research, I have gained industry experience at Amazon, Mayo Clinic, and IBM. I have published 20+ research papers in collaboration with hospitals, industry partners, and interdisciplinary research groups. In addition, I have mentored 5+ students who later published machine learning research and secured academic and industry placements.
I am currently seeking full-time Machine Learning Scientist/Engineer roles for 2026.
News
📌 Recent Updates (2025-2026)
- 08/2026: 👨🏻💻 Started Applied Scientist Internship at Amazon
- 07/2026: 📚 Paper on Pathology Foundation Model 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
- 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
- 01/2025: 👨🏻💻 Started Computational Pathology and AI internship at Mayo Clinic
📆 Previous Years (2020–2024)
- 08/2024: 🎓 Defended my Ph.D. Candidacy Exam and received my M.S. in CSE
- 06/2024: 📚 1 co-authored paper accepted to MICCAI 2024
- 05/2024: 🎉 Received a travel grant from the organizers of ISBI 2024
- 02/2024: 📚 4 papers (two 1st Author) accepted to ISBI 2024 (3 orals)
- 08/2023: 📚 Co-authored paper accepted to the Anatomical Records
- 05/2023: 📚 Co-authored paper accepted to MICCAI 2023
- 01/2023: 📚 Co-authored paper accepted to ISBI 2023 (oral)
- 10/2022: 📚 2 Co-authored papers accepted to BIBM 2022
- 05/2021: 🎉 Passed my PhD Qualifiers Exam
- 08/2020: 🧑🏻🏫 Started my PhD at the University of Notre Dame
- 05/2020: 🎓 Graduated from USM with a B.S. in CS and a B.S. in Mathematics
- 04/2020: 🎉 Received CSE Select Fellowship to join the University of Notre Dame
Timeline
Research in computer vision, foundation models, semi-supervised learning, and surgical video understanding.
Building scalable computer vision and machine learning systems for large-scale video understanding.
Continued research on resolving scaling bottlenecks for the Pathology Vision Foundation models.
Developed user-behavior predictive models using large-scale web clickstream data.
Built large-scale healthcare AI systems using distributed training and scalable MLOps pipelines.
Earned my master's degree during the Ph.D. program.
Joined the CSE Department as a doctoral student.
Graduated with bachelor's degrees in CS and Mathematics.
Selected Publications
MedFMB @ ECCV 2026. Paper
Nature Scientific Reports, 2025. Paper
IEEE BIBM 2022. Paper