ML Engineer & Researcher
PhD candidate at UIUC working on Machine Learning and Earth Observation. Active contributor to TorchGeo ★ 4k, a PyTorch library for geospatial ML. Collaborated with Allen Institute for AI and Microsoft AI for Good Lab. Advised by Arindam Banerjee and Ximing Cai.
PyTorch library for geospatial ML providing datasets, samplers, transforms, and pre-trained models for satellite imagery. Widely used in academic and industry Earth observation research.
Benchmarked foundation model generalizability for crop type mapping across 35+ countries. Released harmonized dataset on HuggingFace for reproducible geospatial ML research.
Datasets and foundation models for Landsat imagery. A large-scale self-supervised learning benchmark with 2.5M+ multi-spectral patches for Earth observation pre-training.
Multimodal spatiotemporal forecasting model for crop yield prediction in Brazil using pre-trained models.
The consequences of trade for agricultural water use: evidence from subnational trade flows
Risk Assessment for COVID-19 Pandemic in Taiwan
Leveraging Novel Agricultural Technologies to Combat Climate-Induced Basin-Wide Water Availability Alterations in the Maipo River Basin
A Deep Learning Approach to Downscaling Precipitation and Temperature over Myanmar