Hello, and thank you for visiting!

My name is Moe Farmani, and I’m a Ph.D. student in Hydrology and Atmospheric Sciences with a minor in Data Science. This webpage is part of my mission to raise public awareness about water and groundwater issues—critical yet often overlooked topics that affect agriculture, ecosystems, and our daily lives.

Through this platform, I share accessible explanations of how water systems work, why groundwater is essential, and how informed communities can help shape sustainable water policies. Whether you're a student, farmer, policymaker, or simply curious, I hope the resources here help you better understand groundwater’s role in resilient communities—especially in the face of climate change.

Let’s bridge the gap between science and society—starting with water.

Key Areas of Expertise

• Hydrological Modeling: Enhancing Noah-MP and RAPID for improved infiltration, runoff, and soil-moisture dynamics.
• Flood Management: Using SWMM to assess climate impacts on urban drainage and improve flood resilience.
• Database Design: Building MySQL backends for smart water distribution and optimization systems.
• Differentiable Hydrology: PyTorch-based hydrological processes for GPU acceleration and ML coupling.

With proficiency in Python, R, SQL, HPC, and tools like SWMM, I work at the nexus of water resources, climate science, and data analytics—aiming to advance sustainable water management and climate resilience via hybrid physical + data-driven modeling.

I also enjoy collaboration and leadership, including service with the El Dia Student Symposium.