👩💻 I’m a PhD candidate in the Department of Computer Science and Electrical Engineering at West Virginia University, advised by Professor Nasser Nasrabadi. My work is in computer vision and deep representation learning — most recently on generative approaches and their use in medical image analysis.
I have published at CVPR, ECCV, WACV, IJCB and ICIP, and have completed data science internships at Mayo Clinic (AI & Informatics) and CCC Intelligent Solutions.
📚 🔬 💡 My research interests:
- Computer vision
- Deep representation learning
- Medical image analysis
- Machine learning
- Generative models
📈 🌱 I am eager to apply my experience to real-world problems and continually seek opportunities to gain insights, expand my expertise, and further enhance my skills in computer vision and machine learning.
See my publications · Google Scholar · GitHub
Projects
Research — living literature reviews I build and maintain:
- Generative Vision Atlas — 204 papers on generative vision, organized around where generation should happen. code
- Dataset Condensation Atlas — 384 papers on dataset distillation, with a synthesis of the field in 2026. code
Fun / free-time — Anatomy Learning Platform, a web app I built to learn anatomy and exercise. code
News
- August, 2025: Accepted an internship with CCC Intelligent Solutions Inc. as a Data Science Intern, running from September to December 2025.
- July, 2025: Presented a poster titled “Generative Feature Augmentation in Weakly Supervised Histopathology Image Analysis” at the 2025 Mayo Clinic AI Summit, which focused on generative AI, information retrieval, and evidence-based medicine.
- February, 2025: One paper accepted at CVPR-2025. Read the paper.
- November, 2024: Accepted an internship with Mayo Clinic (AI&I Data Science), which took place from January to August 2025.
- October, 2024: One paper accepted at WACV-2025. Read the paper and explore the code.
- July, 2024: One paper accepted at ECCV-2024. Read the paper and explore the code.
- February, 2024: One paper accepted at CVPR-2024. Read the paper and explore the code.
- January, 2023: One paper accepted at IEEE Access. Read the paper.
- August, 2022: One paper accepted at WACV-2023. Read the paper.