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Paul Waddell

FOUNDER AND PRESIDENT

Paul is the Founder and President of UrbanSim Inc., and is a professor of City & Regional Planning at the University of California, Berkeley. His accomplishments include the development of the UrbanSim platform, now used for operational planning purposes by metropolitan planning organizations and cities across the United States and in over 70 countries worldwide. Paul previously founded Synthicity, which was acquired by Autodesk in January 2015.


Federico Fernandez

CO-FOUNDER AND DIRECTOR OF SOFTWARE ENGINEERING

Federico earned his MS from the University of Buenos Aires, Argentina, doing his thesis research in Static Analysis methods as part of a collaborative project with the University Louis Pasteur in Strasbourg, France. Federico has developed Boost C++ libraries, and reviewed for Microsoft's Protocol Engineering & Documentation initiative. He has experience in research labs both in France and Argentina, first in Static Analysis applications and later in adaptive traffic lights optimization control software. Currently, he is a lead engineer for UrbanSim's software platform, focusing on the front end and backend development of UrbanCanvas. His main fields of expertise are development of high-availability back-end server software, C++ code optimization and geographic information systems development.


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Robin Hawkes

CO-FOUNDER AND SENIOR SOFTWARE ENGINEER

Robin is the man behind ViziCities, a 3D geospatial data visualisation platform that has been used to improve data-understanding and decision-making within some of the largest urban infrastructure companies in the world. He previously worked at Mozilla as part of their worldwide developer relations effort. Outside of his work at UrbanSim he tinkers with anything and everything to do with geospatial and open data and can often be found speaking about those things at events around the world.


Eddie Janowicz

CO-FOUNDER AND SENIOR DATA SCIENTIST

Eddie has a Masters in City and Regional Planning from UC Berkeley. His work centers on predictive models of urban systems, statistical estimation, automating urban modeling workflows, and applying the scientific Python stack to build tools for UrbanSim users. He works closely with clients to forecast spatial patterns of urban growth, assess the impacts of transport/land-use decisions, and develop data processing pipelines. His academic background is in econometrics and regional planning. Previously he has worked in the area of travel demand modeling.


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Christian Stratton

SENIOR UI/UX DESIGN ADVISOR

After many years guiding the UI/UX experience for SimCity and other games such as the Sims and Spore at Maxis, as a UI and IX Designer and later as UI/UX Director, Christian has joined UrbanSim as a Senior UI/UX Design Advisor.  His well recognized work on data visualization in SimCity, and particularly on making results of simulations visually intuitive and compelling will inform the design and implementation of the user interface / user experience for the new UrbanSim Cloud Platform and other products from UrbanSim.


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Matthew Harrison-Jones

SENIOR SOFTWARE ENGINEER

Matt enjoys experimenting and playing with new web technologies, pushing and expanding the limits of what he can code. His main interests are; HTML5, Javascript, CSS3, public speaking and design. Prior to joining UrbanSim, he was a Senior Front End Developer at Clock Limited, and before that he was Head of User Satisfaction and Web Developer at The Ghost Foundation.


Martín Anzorena

SOFTWARE ENGINEER

Martín is a software developer and open data enthusiast who has worked in both private and public sectors, first in a pharmacy and health provider software firm, then in global insurance companies, and then in the National Institute of Statistics and Census of Argentina, in the Households Expenditure Surveys Department. There he was the department IT specialist, in charge of full development cycle of data collection and analysis software in surveys of national scope. In his spare time he loves to experiment with data visualization while hoarding all kind of public data. Some of his latest personal projects were about household expenditure data, elections forecasting, census data visualization, data scraping, and cleaning and promotion of hidden or forgotten public datasets. 


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Samuel Maurer

DATA SCIENTIST

Sam is a Ph.D. student in city planning at the University of California, Berkeley. He has worked on urban mapping, simulation modeling, and economic forecasting for a variety of public and private sector organizations. His interests include land use typologies and travel behavior.

 


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Max Gardner

DATA SCIENTIST

Max Gardner is a graduate student in Systems Engineering at UC Berkeley. He is interested in applying techniques from large-scale data analytics to geospatial information in order to learn more about the relationship between people, place, and urban development.


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Sam Blanchard

DATA SCIENTIST

Sam has a Master of City Planning from the University of California, Berkeley, where he specialized in transportation planning, and a MA in Geographic Information Science and BA in Geography from Clark University where he specialized in urban geography and land cover/land use change analysis, mapping, and modeling. He has a diverse background in both transportation planning and the geospatial sciences with expertise in network analysis, data science, GIS, and web mapping. He has an interest in accessibility, transportation and infrastructure policy and planning, land use and transportation modeling, regional planning, public and active transportation, multi-modal systems, GIS, geospatial analysis and visualization.


Paul Sohn

SOFTWARE ENGINEER

Paul Sohn holds Master's degrees in City Planning and Transportation Engineering from UC Berkeley. He is interested in building tools to help cities and regions make better data-driven decisions about transportation and housing. At UrbanSim, he is focused on writing reliable, fast, and well-tested software to support UrbanSim land use models and related analytics.


Conor Henley

DATA SCIENTIST

Conor holds a Master of City Planning degree from UC Berkeley. He works directly with clients to ensure transparency and fuller understanding of inputs, assumptions, and process during development of their land use forecast models. Conor's background lies in spatial analysis of urban data, visioning and impact analysis, and implementation of UrbanSim models.