Ph.D. student in Geography at the University of Georgia
My research interests revolve around the intersection of GIScience, GeoAI, remote sensing, atmospheric science, with an emphasis on high-performance computing, with an interest in scalable machine-learning approaches for environmental and spatiotemporal problems.
- Ph.D. student at the University of Georgia, working on geospatial AI and environmental/forecasting applications.
- Previously a research intern at the Max Planck Institute for Security and Privacy (MPI-SP).
- Former contributor to UB Clean Air, a community-based air-quality monitoring project.
- Developed automated data pipelines and an interactive dashboard for local PM2.5 monitoring.
- GeoAI and GIScience
- Remote Sensing and Earth Observation
- Atmospheric and Environmental Modeling
- High-Performance Geospatial Computing
- Spatiotemporal Machine Learning
- Languages: R, Python, Julia, Fortran, C++
- Geospatial: GIS, remote sensing, spatial analysis, Earth observation
- Computing: Linux, HPC, GPU computing, reproducible scientific workflows (Nix, Docker)