I'm a biochemist by training, and software engineer by trade!
- Fairfield University (2017-2021): Bachelor of science in Biochemistry, Minor in Mathematics.
- Yale University School of Medicine (2021-2022): Visiting Student, Department of Surgery.
- Programming Languages: Python, R, Swift, JavaScript, PHP, HTML, & LaTeX.
- Libraries/Frameworks: PyTorch, TensorFlow, Keras, NumPy
I am currently conducting research on the development of domain-randomized data augmentation strategies and computer vision. I am presently most enthusiastic about the following projects:
- oct_vesselseg: A Label-Free and Data-Free Synthesis Engine and Training Framework for Vascular Segmentation of sOCT Data with PyTorch.
- SynthShapes: A realistic 3D shape generator for biomedical image augmentation.
| Journal/Conference | Type | Title | Date |
|---|---|---|---|
| Medical Imaging with Deep Learning | Conference/Short Paper | A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data | July 2024 |
| Journal of the American Chemical Society | Journal Article | Site-Specific Photochemistry along a Protonated Peptide Scaffold | April 2024 |
| Journal of Vascular Surgery | Abstract | Development of a Machine Learning Algorithm to Automate Occlusion Detection in Lower Extremity Conventional Angiograms | April 2023 |
| International Symposium on Molecular Spectroscopy | Conference | Uv Photofragment Spectroscopy And Electronic Energy Transfer On A Peptide Scaffold: The Case Of Near-degenerate Uv Chromophores | June 2022 |
| Preprint | Preprint | Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data | ---- |