Lauren Sager Weinstein

Lauren Sager Weinstein is the Chief Data Officer at Transport for London. She helps TFL use big data to optimise transport in London.

Early life and education She grew up in Washington, D.C., in a family of engineers. Sager Weinstein completed a bachelor's of arts at Princeton University in 1995. She earned a Masters of Public Policy at Harvard Kennedy School in 2002.

Career Sager Weinstein worked as Field and Planning Deputy in Los Angeles where her husband was working as a screenwriter. She worked for the policy think-tank RAND Corporation. Sager Weinstein is interested in how transport networks influence cities and how they function.

Sager Weinstein began working for Transport for London in 2002 as a Senior Business Planner. TFL collect a significant range of data; including ticketing, bus journeys and records from SCOOT traffic detectors. The big data sets help Sager Weinstein understand patterns and trends, helping customers travel across the network. TFL have an academic partnership with Massachusetts Institute of Technology, looking to develop a big data solution to overcrowding on public transport.

Sager Weinstein established the first long-term funding packing for infrastructure investment at TFL. The WiFi connectivity pilot cost £100,000, but the data was worth £322 million. It revealed that passengers take more than 18 different routes when travelling between King's Cross St Pancras and Waterloo. Sager Weinstein published the report "Review of the TfL WiFi Pilot" in 2017.

In 2013 she spoke at the Big Data Analytics conference in London. She was listed in The Female Lead 's 20 in Data & Technology.