Zhi Li

Zhi Li

from University of Colorado Boulder 1Post
Dr. Zhi Li is an Assistant Professor at the University of Colorado Boulder. Prior to this, he was the Stanford Doerr School of Sustainability Dean’s Postdoc Fellow (23′-25′). He earned his doctoral degree (2022) from the University of Oklahoma/Hydrometeorology and Remote Sensing Laboratory. He obtained Master’s and Bachelor’s degrees at the National University of Singapore (2019) and Hohai University (2017), respectively. He had prior experience working as a Data Scientist in the private sector in Singapore to develop opportunistic sensors for rainfall monitoring. His research focuses on 1. improving flood forecasts and 2. assessing flood impacts on agriculture, ecology, and public health.

Large Language Model (LLM) Agent in Hydrology

This tutorial introduces AQUAH, the first language-based agent specifically designed for hydrologic modeling. With simple natural-language prompts (e.g., 'simulate floods for a specific basin'), AQUAH autonomously retrieves data, configures hydrologic models, executes simulations, and produces analyst-ready reports, simplifying complex environmental modeling tasks.