Hello and welcome!
I am an incoming PhD student at MIT, where I will join the Clinical and Applied Machine Learning (CAML) Group at CSAIL, advised by Prof. John Guttag and Prof. Adrian Dalca.
My research objective is to develop fundamental machine learning methods that are grounded in real clinical needs and robust to the data limitations (i.e. heterogeneity and scarcity) inherent in medical settings.
I obtained my BS degree from Vanderbilt University, where I double majored in Computer Science and Mathematics with a minor in Data Science. At Vandy, I was fortunate to be advised by Prof. Jie Ying Wu and Prof. Bennett A. Landman. My undergraduate research focused on biomechanics-based deformable registration for surgical guidance and model generalizability in medical imaging.
News
- [06/2026] Our paper "Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance" is now available on arXiv.
- [12/2025] I am selected as one of 8 undergraduate awardees nationwide to receive the 2025–2026 CRA Outstanding Undergraduate Researcher Award!
- [09/2025] I gave an oral presentation at MICCAI 2025 on our paper "Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection"!
- [09/2025] I am selected to receive the MICCAI 2025 NIH Registration Grant!
- [06/2025] Our paper "Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection" has been accepted to MICCAI 2025!
- [02/2025] I gave an oral presentation at SPIE Medical Imaging 2025 on "Nonrigid Alignment of En Bloc Tissue Specimen to Resection Bed...".
- [01/2025] I am selected as an Honorable Mention for the 2024-2025 CRA Outstanding Undergraduate Researcher Award!
- [12/2024] I am honored to be the only undergraduate speaker at the VISE 13th Annual Symposium.
- [10/2024] Our paper "Nonrigid Alignment of En Bloc Tissue Specimen..." has been accepted to SPIE Medical Imaging 2025!
- [10/2024] Our paper "Automated segmentation of central airway obstruction..." has been accepted to SPIE Medical Imaging 2025!
- [07/2024] Our paper "Specimen-to-tumor bed deformable registration..." has been accepted to MIUA 2024!
- [01/2024] Joined the Machine Automation, Perception, and Learning (MAPLE) Lab advised by Dr. Jie Ying Wu!
Publications
- Yang, Q.*, Li, F.*, et al. "Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection." MICCAI 2025. (Oral Presentation, Highlight Paper)
- Yang, Q., Acar, A., et al. "Nonrigid Alignment of En Bloc Tissue Specimen to Resection Bed to Enhance Correspondence for Re-Resection Guidance." SPIE Medical Imaging 2025. (Oral Presentation)
- Su, D., Yang, Q., et al. "BPPR: A Framework for Content Navigation in Multi-Contrast Body CT Images using Deep Regression Models." IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2026.3718346
Awards & Fellowships
- CRA Outstanding Undergraduate Researcher Award
- MICCAI 2025 NIH Registration Grant
- Stanford SERGE Scholar
- 2025 VISE Fellowship ($8000)
Presentations
- Oral & Poster Presentation — MICCAI 2025 , Daejeon, South Korea. Sep 2025.
- Oral Presentation — SPIE Medical Imaging 2025 , San Diego, CA, USA. Feb 2025.
- Invited Undergraduate Speaker — VISE 13th Annual Surgery, Intervention, and Engineering Symposium. Nashville, TN, USA. Dec 2024.
