Projects | Geospatial AI Researcher

Selected Projects

I enjoy applying AI and data-driven methods to solve real-world urban challenges. Below are selected projects I’ve contributed to over the years.

UrbanTrace

Computer Vision

UrbanTrace

UrbanTrace is an innovative open-source computer vision toolbox we developed to detect urban changes at the building level using very high-resolution (VHR) aerial imagery.

Oct 1, 2024

San Franscisco Flood Health Vulnerability Analysis

Machine Learning

San Franscisco Flood Health Vulnerability Analysis

An award-winning project that uses machine learning to identify key influencers of flood risk in San Francisco.

Oct 4, 2022

Intro 144B (Uber) Study

Intro 144B (Uber) Study

Contributed to a landmark study on For-Hire Vehicles (FHVs) in New York City, focusing on platforms such as Uber, Lyft, Via, and Juno. Assisted in processing and analyzing large-scale datasets—including FHV and taxi trips, driver and rider pay, GPS traces, and logon/logoff records—using Python and Tableau. Supported the development of an economic model to estimate the policy impacts on traffic congestion, driver earnings, wait times, and regulatory revenue. Collaborated with the project lead in preparing technical materials for stakeholder briefings, including a presentation to Deputy Mayor Anglin. The study informed NYC’s historic 2019 regulations aimed at reducing Manhattan congestion and improving FHV driver wages.

Sep 26, 2018