About
Research interests, education, and skills.
I'm a Postdoctoral Researcher at the University 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 NIH and NSF-funded projects studying SAR and SWOT satellite imagery, dual-energy X-ray absorptiometry medical scans, 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, LaTeX, SQL, MongoDB, Neo4j
Data Formats
DICOM, TIFF/GeoTIFF, NetCDF, HDF5
Modeling
Foundation models, self-supervised learning, diffusion models, physics-informed neural networks, graph neural networks, LLMs
Languages
English (fluent), German (fluent)