Chris Natali

I have been developing systems software for two decades. At Square and previously at Standard and Poor’s, my work focused on the financial services domain. I’m also well-versed in spatial analysis and algorithms. At the Sustainable Engineering Lab of Columbia University, I applied these skills to help developing nations plan infrastructure improvements. I started my career writing navigation software at a startup.

Outside of work, I enjoy spending time with my wife and our 2 kids, surfing, playing/listening to music, experiencing extreme weather and working on my home.

Resume

(PDF), (HTML)

Select Projects, Presentations and Research

Software

• Modelrunner (http://modelrunner.io): Web-based distributed job platform
• Networker (https://github.com/SEL-Columbia/networker): Python-based network planning library (co-developer)
• NetworkPlanner.R (https://github.com/SEL-Columbia/networkplanner.R): R-based network planning library
• OSM-Devops (https://github.com/SEL-Columbia/osm-devops): System to deploy OpenStreetMap for electricity data gathering
• Oync (https://github.com/SEL-Columbia/oync): System to synchronize postgis database from OpenStreetMap
• FinX (https://github.com/chrisnatali/FinX): Stock data collection and analysis tools
• SharedSolar Data Warehouse (https://github.com/SEL-Columbia/shared_solar_data_warehouse): Warehouse and process for analysis of electricity usage data
• libspatialindex (https://github.com/libspatialindex/libspatialindex): C++-based spatialindex library (contributor)
• networkx (https://github.com/networkx/networkx): Python-based library for graph analysis (contributor)

Presentations

• Speaker at GeoNYC (https://vimeo.com/70671148): Talk on electricity planning in Africa and Indonesia
• ECREEE training (http://sel.columbia.edu/ecreee_training/): Presentation to utility employees in Cape Verde, Africa

Writing

• Performance comparison (https://github.com/SEL-Columbia/networker/blob/master/docs/comparison.md): Comparison of run-time and memory usage of network planning algorithms
• Modified Boruvka’s MST (https://github.com/SEL-Columbia/networker/blob/master/docs/mod_boruvka.md): Writeup of constrained minimum spanning tree implementation that reduces space complexity from O(n^2) to O(n).
• A Way Foreward (https://qsel.columbia.edu/a-way-forward-streamlining-power-grid-data-collection-with-openstreetmap): Writeup of experience collecting power grid data in Indonesia