The EHrlichman Group

Courtney Ehrlichman,


While communities of practice begin to incorporate artificial intelligence into the real-world, Courtney Ehrlichman launched the Ehrlichman Group to works to ensure that transportation technology solves for humanity while community values remain authentically centered. Courtney’s background - steeped in community & economic development, human-centered design, bleeding-edge transportation technology - drives the The Ehrlichman Group’s vision into real-world application.

Previously, Courtney managed the development and deployment of disruptive transportation research in real-world test beds, convened thought-leaders from across the country, influenced federal and state legislation, and became a recognized leader in the industry. While at CMU, she was an author and the Mobility Analytics Lead on the Smart PGH response to the USDOT Smart City Challenge, brought Transportation Camp for the first time to Pittsburgh, and initiated several technology transfer, workforce development and diversity efforts in the region.

In late 2016, Courtney co-founded Roadbotics, a Robotics Institute spin-off company that uses AI to monitor road surfaces. She writes on the social implications of mobility ai and has spoken both locally and globally about her concerns (from TEDx Pittsburgh to the United Nations).

Courtney proudly founded the Women’s Transportation Seminar Pittsburgh Chapter and serves on the the Intelligent Transportation Society of America's Cybersecurity Task Force, the Pennsylvania Autonomous Vehicle (PAAV) Task Force, the PAAV Local Government Subcommittee, and on the boards of Partnership for Advancing Responsible Technology (PART) and the Intelligent Transportation Society of Pennsylvania (ITSPA).

Of note


To find out what year Courtney was a bicycle messenger aka working in “tiny urban freight”, visit LinkedIN.

Sean in Action.jpg

Sean Qian,

Mobility Analytics

Sean Qian is an internationally, recognized expert in large-scale dynamic network modeling and big data analytics for multi-modal transportation systems, in development of intelligent transportation systems (ITS) and in understanding infrastructure system interdependency. He has partnered on projects with a number of public agencies and private firms, such as NSF, DOE, FHWA, Pennsylvania Department of Transportation (PennDOT), Pennsylvania Department of Community and Economic Development (DCED) & IBM. He also directs the Mobility Data Analytics Center (MAC) at Carnegie Mellon University.

Dr. Qian’s focus areas:

  • Dynamic large-scale network modeling

  • Intelligent transportation system (ITS)

  • Urban systems interdependency

  • Parking management

  • Infrastructure resilience

  • Multi-modal transportation modeling

  • Transportation economics and policy

  • Traffic operations

Dr. Qian is the recipient of the NSF CAREER award in 2018.

Dr. Qian was a postdoctoral researcher in Civil & Environmental Engineering at Stanford University, received his PhD in Civil Engineering from the University of California, Davis and his MS in Statistics from Stanford University.