Alex Wallar

Senior Data Scientist · Zoox

Alex Wallar

A city's streets are full of wasted motion — cars carrying one person, buses no one is riding, people waiting for both. I build the optimization that claws it back: pooling trips into shared rides, predicting demand before it shows up, and moving vehicles to meet it. These days that's robo-taxis at Zoox. Before that, I co-founded The Routing Company out of MIT CSAIL and spent seven years as its CTO, putting on-demand public transit on the ground on three continents.

MIT CSAIL · Forbes 30 Under 30 Europe

Minimal map of a street network with vehicles moving along two dispatch routes
fig. 01 — five vehicles, two routes

01Work

2025 — now

Senior Data Scientist · Zoox

R&D fleet orchestration for autonomous ride-hailing. Joined when Zoox licensed The Routing Company's technology.

2018 — 2025

Co-founder & CTO · The Routing Company

MIT spinout building demand-responsive transit — routing algorithms that let public agencies run service where riders actually are, instead of fixed routes past empty stops. Built the engine behind the Pingo platform and deployed it on three continents: Houston, Kitsap County, and a 132-vehicle network in Rochester, NY — among the largest on-demand transit services in North America — plus the Scottish Borders, Dunoon, and suburban Melbourne.

2016 — 2019

PhD Researcher · MIT CSAIL

Distributed Robotics Lab, advised by Daniela Rus. Mobility-on-demand optimization: real-time trip–vehicle assignment, vehicle rebalancing, and dispatch at city scale. Left the program to build The Routing Company full-time.

2016

Robotics Research Intern · Amazon Robotics

Multi-robot path planning and coordination for warehouse automation.

— 2015

BSc (Hons) Computer Science · University of St Andrews

Undergraduate research in motion planning and multi-robot systems.

02Research

My research asks how much a city can move with how few vehicles. The headline answer, from the PNAS study I co-authored at MIT: 3,000 shared vehicles could serve 98% of New York's taxi demand — a result covered by CNN and Forbes. Since then it's been predictive routing, vehicle rebalancing, and high-capacity ridepooling for robo-taxis, with earlier detours into UAV motion planning, acoustic sensor networks, and in-browser eye tracking.

Selected publications

  • PNAS 2017 On-demand high-capacity ride-sharing via dynamic trip–vehicle assignment — with Alonso-Mora, Samaranayake, Frazzoli, and Rus.
  • IROS 2018 Vehicle rebalancing for mobility-on-demand systems with ride-sharing.
  • IROS 2017 Predictive routing for autonomous mobility-on-demand systems with ride-sharing.
  • RA-L 2026 Accelerating high-capacity ridepooling in robo-taxi systems.
  • US Patent On-demand high-capacity ride-sharing via dynamic trip–vehicle assignment with future requests, 2023.

At MIT: Lemelson Presidential Fellow · MIT Diversity Fellow · Shell-MIT Energy Fellow

Diagram of ridepooling: two requested trips served by a single pooled vehicle route
fig. 02 — two trips, one vehicle

04Contact

Always happy to talk about dispatch optimization, transit, robotics, or a routing problem that's keeping you up at night. Email is the fastest way to reach me: alex@wallar.me.

Alex Wallar as a kid, grinning and holding a model ship in front of the Death Star — his longtime GitHub avatar.
fig. 03 — the author, with an early vehicle