Sijia Wang is a lead data scientist and deputy project manager with WSP's travel demand modeling group in the New York office. Her areas of expertise include choice model estimation, travel demand model development, model calibration and validation, and data analytics.

Dr. Pedro Camargo is a transportation researcher focusing on travel demand and network
modeling, particularly on the development of Open-Source solutions.
Before becoming an independent consultant, Pedro was a Principal model developer for
Veitch Lister Consulting in Australia, a senior transportation engineer with the Maricopa
Association of Governments, in Arizona, and a senior engineer with Vale, a large mining
company in Brazil.
Pedro is currently part of the Argonne National Laboratory team developing the agent-based
modelling platform Polaris and provides consulting to the World Bank and others on
open-source software and modeling in general.
AequilibraE has been Pedro’s passion project since 2014, the first fully-fledged open-source
alternative to commercial modeling packages, which currently have documented users in over 50 countries.
Pedro’s research has been funded by several state transportation agencies in the United States and Australia, as well as by the Brazilian Institute of Applied Economics (IPEA).
He has a Ph.D. in Transportation Sciences from the University of California Irvine and a M.S. in
Transportation Engineering & B.S. in Civil Engineering from the Polytechnic School of the
University of São Paulo, Brazil.

Stephen is a Senior Consultant with RSG. He has 11 years of experience in travel demand modeling and has developed statewide, regional, and corridor models, often featuring passive data. Stephen holds a master’s degree in Transportation Science.

Derek Cutler is an expert in quantitative analysis and analyzing large data sets for economic impact studies and for model development. He has been involved in some of the latest transportation data analytical research. His current work at EBP focuses on data gathering and policy research for a wide variety of energy, transportation and economic studies, database assembly, management, and programming. His recent work experience also includes assembling large freight and trade datasets and applying economic impact models representing foreign trade as well as state and regional economic impacts.

Bio of speakers

Arup Dutta:
Arup Dutta is the Travel Demand Modeling Program Manager at Maricopa Association of Governments. He has over 15 years of experience in travel demand modeling, transportation planning, microsimulation modeling, traffic safety and other areas of transportation engineering. He has a Ph.D. degree in Civil Engineering with a minor degree in Computer Science from the University of Wisconsin-Madison, and an M.S. degree in Industrial Engineering and Operations Research from the University of Massachusetts, Amherst.

Daehyun You:
Daehyun has more than 10 years of experience in the areas of travel demand modeling and transportation planning. He has M.S. and Ph.D. in the area of Transportation System Engineering at Arizona State University. He had worked as a Postdoctoral Fellow at Georgia Institute of Technology in Georgia. Now, he works for Maricopa Association of Governments as a Transportation Engineer III. At MAG, he works on improvement of MAG ABM and Tour-based Truck Model.

Mr. Rapolu has ten years of experience in travel demand model development, corridor planning studies, demand forecasting, transit ridership estimation, transit survey expansion, New Starts analysis, and design traffic projects. He has processed and applied transportation travel data, including traffic and transit surveys and various big-data sources, in meaningful and innovative ways to inform the decision-makers about the travel patterns and travel needs in a corridor or a region. He has experience working with Cube Base/Voyager and Cube Florida Standard Urban Transportation Model Structure (FSUTMS) travel demand forecasting software packages. He was involved in the beta testing of FTA's Simplified Trips-On-Project Software (STOPS) before its official release and has since developed and applied STOPS models in numerous metropolitan areas across the country. He has also developed data-driven ridership forecasting models in Cube Voyager for applications in Southeast Florida.

Tammy works on a variety of projects for TREC, including documentation, data synthesis, analysis, and visualization supporting ongoing work with PORTAL and Bike-Ped Portal. Tammy received a BS in Genetics & Plant Biology from UC Berkeley before earning a PhD in Environmental and Natural Resource Sciences from WSU. Prior to joining TREC she worked as a data scientist for a political digital media consulting firm.

Nan Jiang is a Senior Transportation Engineer and Project Manager at DKS Associates where she worked on corridor planning, travel demand modeling, and TSMO Planning projects.