I'm a Postdoctoral Researcher at the Research Corporation of Hawaii, working on self-supervised learning foundation models for satellite remote sensing, medical imaging, and solar physics. I received my Ph.D. in Computer Science from the University of Hawaii at Manoa in 2025, advised by Dr. Peter Sadowski.

My research focuses on building domain-informed foundation models that leverage large-scale unlabeled scientific datasets. I develop self-supervised learning approaches for SAR satellite imagery (12M+ images), dual-energy X-ray absorptiometry, and high-resolution solar observations from the Daniel K. Inouye Solar Telescope.

Education

Ph.D., Computer Science

University of Hawaii at Manoa — GPA: 4.0/4.0

Self-supervised learning for natural science and medical imaging | Advisor: Dr. Peter Sadowski

M.S., Computer Science

University of Hawaii at Manoa — GPA: 3.9/4.0

Applied machine learning for natural science | Advisor: Dr. Peter Sadowski

B.S., Computer Science

University of North Georgia — GPA: 4.0/4.0

Graduated with Honors, President's Honors List, Cottrell Scholar

Skills

Software

Python, TensorFlow, Keras, PyTorch, SLURM, PySpark, Git, Docker, Singularity, GCP, Java, Unix

Data Formats

DICOM, TIFF/GeoTIFF, NetCDF, HDF5

Modeling

Self-supervised learning, diffusion models, physics-informed neural networks, graph neural networks, LLMs

Languages

English (fluent), German (fluent)