Summary
Yi-chia Chang is a machine learning researcher and PhD student at UIUC with six years of experience building deep learning systems for remote sensing, geospatial AI, and food security. She has driven state-of-the-art crop yield and crop type mapping work by fine-tuning transformer-based time-series models and integrating geospatial embeddings, with publications at NeurIPS and IEEE IGARSS. Yi-chia designs and evaluates Earth-observation foundation models, benchmarking few-shot transfer and out-of-distribution performance in collaboration with AI2, and contributes production-ready code to the TorchGeo open-source ecosystem. Her research blends conversational retrieval-enhanced LLMs for Q&A with domain-specific document filtering, bridging large models and applied geoscience. She also brings practical sustainability and disaster-resilience experience from industry internships and global exchanges, giving her a rare mix of field-driven domain knowledge and rigorous ML methodology.
6 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.) Bioenvironmental Systems Engineering, Master of Science (M.S.) Bioenvironmental Systems Engineering at National Taiwan University
Civil Environmental Engineering, Civil Environmental Engineering at Arizona State University
Master of Computer Science Computer Science, Master of Computer Science Computer Science at University of Illinois Urbana-Champaign
Sustainability and Innovation Summer Programme Sustainability Studies, Sustainability and Innovation Summer Programme Sustainability Studies at Nanyang Technological University Singapore
University of Tokyo
English, Chinese, Japanese, Mandarin