Oishee Bintey Hoque is a Ph.D. student in Computer Science at the University of Virginia, working as a Research Assistant in the Network Systems Science and Advanced Computing Division of the Biocomplexity Institute. With a background that heavily focuses on AI and Computer Vision, she received her BSc. in Computer Science and Engineering from Ahsanullah University of Science and Technology in Bangladesh. Her research interests encompass sections of the field of artificial intelligence and data analysis, with a specific emphasis on Deep Learning, Machine Learning, and Data Analysis. Her current research is centered around two main areas. Firstly, she is involved in designing AI and science-guided machine learning frameworks to facilitate effective seasonal and long-horizon planning, forecasting, and allocation decisions in agricultural water management. This research aims to optimize water usage and resource allocation in agriculture using advanced AI techniques. Secondly, she is engaged in analyzing Non-Pharmaceutical Intervention (NPI) data to gain a better understanding of pandemic policies. This research involves studying the effects and outcomes of different interventions and policies implemented during the COVID-19 pandemic, with the goal of extracting insights that can inform future decision-making processes. In collaboration with the AgAID Institute, she is actively contributing to the development of an agricultural water management system. This collaboration involves applying her research findings and expertise to enhance the efficiency and sustainability of water management practices in the agricultural sector.