I received my B.S. in Computer Engineering from [Villanova University] in 2023, and recently completed a Fulbright research scholarship at the [Norwegian University of Science and Technology]. My research interests lie at the intersection of [artifical intelligence and machine learning] and [translatable clinical tools].
Currently, I am working on problems related to:
- 🧠 [Behavioral analysis from clinical video footage]
- 📊 [Low memory usage, energy efficient cancer diagnostic tool]
I am passionate about researching how we can leverage artifical intelligence arhcitectures for practically useful in medicine, and I enjoy collaborative research and open-source development.
- Languages: Python, C/C++, Matlab, JavaScript, SQL, Bash
- Frameworks: PyTorch, Scikit-learn, Scipy
- Tools: Docker, Git, LaTeX, VS Code
- Concepts: Image Procesing, Deep Learning, Optimization, Computer Vision, Hyperdimensional Computing
A brief description of the project, what it does, and why it matters. Mention if it was part of a publication.
- 🛠️ Tools: Python, PyTorch, Docker
- 📄 Paper: [link to paper or preprint]
- ⭐ GitHub Stars: 123
Short blurb about the second project, especially if it's research-related or impactful.
- NSF Graduate Research Fellowship (2024–2027)
- Best Paper Award, XYZ Conference (2024)
- First Place, ACM Student Research Competition (2023)
If you're working on interesting problems in [Your Research Area], or building open-source tools that could benefit the research community, feel free to reach out!