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.
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.
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.
SENIOR RESEARCH SCIENTIST
Sam completed his Ph.D. 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. He joined UrbanSim as a Senior Research Scientist, and leads the development of new modeling and data science research.
MANAGER OF PRODUCT DEVELOPMENT & 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 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.
HOUSING AND REAL ESTATE SPECIALIST
Christiana holds a Master of City Planning from the University of California, Berkeley. After working in real estate finance, she shifted her focus to specialize in housing and economic development, in particular the intersection between housing production, affordability and displacement. Her passion lies in alternative approaches to housing policy, finance and design that can better address issues of affordability and unequal access to housing.
Daniel is an applied economist with interests in urban and regional economics, macroeconomic forecasting, and econometrics. Prior to joining UrbanSim, Daniel was Chief Economist at the Denver Regional Council of Governments for 6 years. He has spent time in the investment management industry as well as state and local governments. He remains active in academia, teaching graduate courses in forecasting and macroeconomics at the University of Colorado Denver. Daniel received his PhD in Economics from the Colorado School of Mines, an MA in Economics from DePaul University, and a BBA in Business from the University of Iowa.
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.
FULL STACK ENGINEER
Justin is a full stack engineer with a background in economics and land use forecasting. Prior to joining UrbanSim, Justin was an Economist at the Denver Regional Council of Governments where he led the software development of the organization’s land use model. In addition to land use forecasting, Justin has expertise in geospatial analytics, data visualization, and full stack software development. Justin received his MA in Economics from Colorado State University, an MBA from San Diego State University, and a BA in Economics from the University of Colorado at Boulder.
Francisco is a Computer Science student at the University of Buenos Aires. He has worked with research groups at the University of Buenos Aires and at Carleton University. He is interested in developing solutions to challenging urban planning problems using simulation, visualization and algorithmic tools.
Florencia has studied Mathematics and Computer Sciences at the University of Buenos Aires. Prior to joining UrbanSim she has worked as Game Mathematician designing casino slots as well as developing statistical models and alternate risk scores for private sector organizations.
Nicolas is a Computer Science student at University of Buenos Aires involved in projects focusing on the development of web pages and business management systems for sales and control sectors. He has worked with the National Production Ministry of Argentina to update existing technologies and develop new tools for the public and the ministry.
Gregorio is a Computer Science student at the University of Buenos Aires. Before joining UrbanSim he participated in the divulgation of physics and mathematics experiments in technology parks in Argentina and worked in the development of recommendation engines for an international sales website of America Latina.
Catalina has a Masters of Science in Transportation Engineering from UC Berkeley. She worked as a project designer in an engineering consulting firm for five years and served as a researcher at two UC Berkeley labs. At UrbanSim, she works on statistical and geospatial analysis, and on the programming of predictive models used for urban forecasting. She is interested in transportation and infrastructure/land use modeling and planning, as well as sustainable and smart transportation strategies in the context of developing countries.
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.
Arezoo is a researcher, urban planner and designer. She holds a masters degree in city planning from UC Berkeley, and masters degree in urban design. She is interested in urban informatics, the acquisition, integration, and analysis of data to understand and improve urban systems and quality of life. At UrbanSim, she works on predictive models, statistical and machine learning methods to improve urban models and data.
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.