👩‍💻 I’m a fourth-year PhD student 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

Things I build outside of papers. See all projects →

Generative Vision Atlas — a living, structured review of modern generative vision. 204 papers organized into 35 research lines, each defined by one explicit bet about where generation should happen: a compression code, a foundation model’s features, discrete tokens, or raw pixels. It refuses to publish a leaderboard — every benchmark number carries the guidance method and training budget that produced it — and a pipeline sweeps arXiv every three days to keep it current. Open the atlas · code

Anatomy Learning Platform — a side project I built for myself: an evidence-based web app for learning human anatomy and exercise, covering 16 body regions, 51 muscles and 49 exercises, with a citation attached to every claim. Next.js, TypeScript and Prisma. Browse the demo · 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.