Research Team
Evan Zhang
Urban Automation TeamM.Eng. Computer Science
Cornell University
Evan Zhang is an M.Eng Computer Science student at Cornell University, contributing to AI4C’s agentic geospatial workflow. His interests include leveraging LLMs and agentic AI to make a measurable impact on local communities.
Evan graduated with a B.S. in Computer Science and a minor in Statistics, as well as a Public Leadership Scholars citation, from the University of Maryland, College Park. His work revolves around NLP and deep learning, including fine-tuning transformer-based models for cross-domain sentiment classification across social media datasets. Outside of technical work, he was previously a member of the Operations Programs team at Hack4Impact, where he helped incubate new university chapters across the United States and Canada.
“I’m looking forward to developing geospatial workflows that will make meaningful progress towards sustainability in urban communities.”
Focus areas
Projects
Heatscape NYC
Urban heat intervention planner — 10,081 populated cells scored on 43 indicators and matched to the cooling intervention their context supports.
Project overview
URIS Mapper
A causal diagram platform — build a loop map, let it find the reinforcing and balancing structures, and ask what a change would propagate to.
urismapper.com