I am a Ph.D. researcher at Johns Hopkins University in the Department of Environmental Health and Engineering, on the Geography and Environmental Engineering track. My research follows drought as it moves through land, water and people: how soil-moisture drought, from flash events to seasonal ones, drives crop-yield losses and uneven recovery across U.S. counties, how it carries through to air quality and health, and what satellite observations from SMAP and SWOT add when they are assimilated into hydrological and flood-inundation models, from the Mekong River Basin to U.S. rivers.
Before the Ph.D., I spent nearly three years as a coastal and hydroinformatics engineer at Smith Warner International in Jamaica, building shoreline-protection and flood-hazard models for climate-resilience projects valued up to US $3 million, work that protects more than 250,000 Caribbean residents. That engineering practice, and the open tools I maintain for SWAT+ calibration, climate-model downloads and flood mapping, keep my work at the meeting point of computational hydrology, remote sensing and machine learning.
My journey has taken me through 7 countries across 3 continents, from Jamaica to France, the Netherlands, Spain, Germany, China, and the United States, giving me a global perspective on water challenges. I am fluent in English and Mandarin Chinese, and my research interests include drought and soil moisture, hydrology, remote sensing, data assimilation, coastal processes, and machine learning.