Research Team
Krishiv Vora
Urban Automation TeamM.Eng. Computer Science
Cornell University
Krishiv Vora leads the urban automation workstream — the agents, pipelines and tooling that turn AI4C's research code into systems that keep running without a person in the loop.
He is an M.Eng. computer science student at Cornell, focused on applying AI to domain-specific problems, which is what drew him to this project. He studied cognitive science with a machine learning specialization at UC San Diego, then spent three years at AMD building software infrastructure and tooling for GPU hardware simulation, where he worked extensively with AI-driven workflows and agentic automation.
“Excited to learn more about the project and use computation and AI to build real solutions with everyone.”
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