Balancing Riders and Drivers in Real- time around the World at Uber

Balancing Riders and Drivers in Real- time around the World at Uber

March 22, 2019

Eric MaiEric Mai, Former Uber Engineer, presented Balancing Riders and Drivers in Real- time around the World at Uber, at the ITS Transportation Seminar March 22 at 4 p.m. in 290 Hearst Memorial Mining Building. 

Abstract

Eric spent 4 years at Uber as a backend engineer and product manager within the marketplace organization. This talk will span Eric’s experiences and lessons learned working on dynamic pricing, driver positioning, and marketplace health monitoring there. Come learn how Uber’s dynamic pricing engine increased dramatically in both complexity and efficiency from 2013-2017 as Eric discusses topics such as designing for rapid experimentation, effective spatial aggregation of real-time data, and monitoring and addressing negative user experiences in real-time. A Q&A session will follow.

Presenter

A native Oklahoman, Eric moved to the Bay Area 10 years ago with the goal of revolutionizing transportation through technology. Since then, he has pioneered an early ridesharing effort within the taxi industry at Cabulous (now Flywheel), helped the public sector monitor and manage freeway congestion at Iteris, given drivers insights into their inefficient driving habits at Automatic, and helped balance supply and demand through dynamic pricing and driver positioning at Uber. Eric graduated with a Master’s degree in Civil Systems engineering from UC Berkeley in 2009. In his spare time he enjoys playing the bass guitar and ultimate frisbee.