About me

Hi! I am Sai Nudurupati. Thanks for visiting my website.

I am an engineer, numerical modeler, and data scientist. I aim to leverage data to address challenges in building ecosystem resilience to climate change and mitigating the effects of extreme events such as floods, wildfires, and droughts. I am currently working as a Water Resources Engineer at Jacobs, Sacramento, California. Here at Jacobs, I develop and apply cutting-edge tools to support hydraulic, hydrologic, and hydrodynamic analyses for local, state, and federal agencies. I previously worked as a Water Resources Engineer at Resource Management Associates (RMA). At RMA, I supported 2D and 3D hydrodynamic modeling of riverine, estuarine, and coastal ecosystems to study marine habitat health and flow dynamics in the Sacramento—San Joaquin River Delta, central California.

I completed my Ph.D. in Civil & Environmental Engineering from the University of Washington, Seattle in August 2020. During my Ph.D., I studied how climate influences vegetation dynamics in semi-arid landscapes of southwest United States. I used numerical modeling to investigate the influence of terrain characteristics, climate, and disturbance (like wildfires and grazing) variability on competition between various plant species, and the resulting vegetation organization. Please check my research page for more information.

I am a developer of Landlab, an open-source Python toolkit used to create land surface models. Landlab is a collaborative effort, geared towards engaging the community to maintain a repository of tools that help building, coupling, and exploring 2D numerical models. I have contributed well-documented, unit-tested, and doc-tested code for ecohydrologic components, utilities, and more. I have also developed tutorials to demonstrate model building and application using Landlab. Checkout the following pages; papers, workshops, and tutorials to learn more about Landlab. I would also recommend checking out the Landlab resources available on Hydroshare. Hydroshare is a web based hydrologic information system designed for users to share and publish data and models.

I am a founder and organizer of Scientific Computing Meetup. Scientific Computing is a Special Interest Group (SIG) of Puget Sound Programming Python (PuPPy) meetup. We invite speakers for our monthly meetings from diverse backgrounds to talk about their fun (or serious) projects.

Apart from writing code and reading papers, I like playing badminton. I also enjoy hiking and biking. I enjoy watching Cricket (the game) and American football (both college and NFL).

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