A.S. Computer Science, and A.S. Mathematics, De Anza College, 2024
Summary of Research
The Earth is constantly being measured, but rarely completely. Satellites, sensors, simulations, and field observations each provide partial views of complex environmental and ecological systems. My research focuses on building machine learning models that can learn from these data challenges: sparse measurements, missing modalities, noisy observations, and changing spatiotemporal patterns. I am especially interested in AI for Earth and environmental systems, with applications in ecological monitoring, remote sensing, climate and weather modeling, wildfire risk, and environmental change. Broadly, I want to develop AI systems that help us better observe, understand, and respond to a changing planet.
Publications
K. Valencia, T. Balasooriya, X. Luo, S. Yoo, D. Park "OmniField: Conditioned Neural Fields For Robust Multimodal Spatiotemporal Learning" ICLR 2026.
K. Valencia, S. Yoo, X. Luo D. Park "Forecasting the Void: Probabilistic Field Diffusion for Spatiotemporal Data"
M. Ayad, C. Lee, B. Lutjens , K. Valencia, R. Kudela "Detection of Coral Bleaching using PlanetScope Imagery using the CT Classification Model".
K. Valencia, Z. Liu, J. Cui "Data-Efficient Ensemble Weather Forecasting with Diffusion Models" Curated Data for Efficient Learning (CDEL) Workshop, ICCV, 2025.
Z. Liu, K. Valencia, J. Cui "Video Text Preservation with Synthetic Text-Rich Videos" Curated Data for Efficient Learning (CDEL) Workshop, ICCV, 2025.
T. Balasooriya, J. Choi, K. Valencia, X. Luo, S. Yoo, D. Park "Mamba-GINR: A Scalable Framework for Spatiotemporal Representation of fMRI" Data on the Brain & Mind Workshop, NeurIPS, 2025.
Awards
2025 HSF Scholar - Hispanic Scholarship Fund
2025 Coding it Forward Discovery Program Fellow - Coding It Forward
UCLA CEED Scholarship (2025,2026) - UCLA, Center for Excellence in Engineering and Diversity
De Anza College President's Award: - De Anza College
De Anza Kiwanis Club Scholarship: - De Anza College