Nabin Kalauni

I am an M.S. student in Hydrology at the University of Arizona, working as a Graduate Research Assistant in the Computational Hydrology Lab under Professor Andrew Bennett. My current research focuses on developing a hybrid differentiable land surface model for improved land-atmosphere flux predictions, embedding neural networks into physics-based frameworks using JAX. Broadly, I am interested in land surface modeling, scientific machine learning, numerical methods, and differentiable modeling.

Before moving to Arizona, I worked as a Post-Baccalaureate Research Assistant at the Center for Water Resource Studies, IOE, under Professor Vishnu Prasad Pandey, where I developed a process-based hydrological model for Himalayan catchments and published work on climate change impacts on crop yield and irrigation requirements in Nepal.

Prior to that, I won the Nepal Physics Olympiad (NePhO) 2018 and represented Nepal in the International Physics Olympiad (IPhO) 2018, Lisbon. Frustrated by the lack of resources when preparing for olympiads, I collaborated with my IPhO colleagues to release an open-source book on physics olympiad preparation for Nepali aspirants. In my free time, I enjoy playing chess and basketball, binging movies, and reading fiction.