Work
Currently a Staff Machine Learning Engineer at Ethyca building out ML-focused privacy guardrails for data access.
As a Staff Data Scientist at Premise Data, I led ML systems that process global location data. Previously, I worked at Ipsos’ Risk Analytics Division on spatial data science for international development, including rapid response work supporting the World Bank after the 2020 Beirut explosion. I spent five years at CARTO developing spatial data science expertise and created CARTOframes, a Python package that became a core company product. Before transitioning to data science and engineering, I taught high school physics.
Teaching
I created and taught Geospatial Cloud Computing & Visualization at the MUSA program in the Weitzman School of Design, University of Pennsylvania.
With a strong emphasis on data analysis in Python with SQL and PostGIS, students built interactive web applications backed by REST APIs built with Flask and visualized with Jinja HTML templates. The student-built web apps told data-driven geospatial stories, often from an urban-planning angle. Students managed their data in PostgreSQL on AWS RDS and Google BigQuery.
Talks & projects
A small sample of work:
- George Floyd protest maps published by USA Today
- World Bank Beirut Rapid Damage and Needs Assessment
- The first version of CARTOframes
See the archive of talks and presentations for more.