👩💻 I’m a PhD candidate in the Department of Computer Science and Electrical Engineering at West Virginia University, advised by Professor Nasser Nasrabadi. My research focuses on computer vision and deep representation learning, with particular interests in generative models, robust visual recognition, and learning from large-scale and challenging data.
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.
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.