I'm a roboticist and software engineer specializing in making innovative autonomous systems reliable. Whether you have autonomous vehicles on the open road (Motional), robots navigating a ship underwater (Fleet Robotics), or a swarm of hundreds of collaborating robots (Harvard PhD) — I can make it work.

I am currently a staff autonomy engineer at Motional; we're making autonomous robotaxis that are reliable and safe for all road users, including cyclists and pedestrians. I bridge the gap between systems engineering and developers on the planning team, ensuring that we are developing solutions to the right problems, bringing those designs to fruition, and evaluating the complex outcomes. This requires a combination of deep technical understanding across the problem domain and planning stack, plus the skills to coordinate across cross-functional teams.

My educational background prepared me to tackle novel algorithmic problems in robotics and autonomous systems. I completed my PhD in computer science at Harvard University, where I developed algorithms for a variety of multi-agent systems, from robots to satellite constellations. I also draw on my prior degrees in neuroscience and bioengineering to take an interdisciplinary approach to robotics: integrating bio-inspiration and mathematical modeling to develop algorithms and machine learning solutions that can be applied in a multitude of autonomy planning problems.

In my free time, I'm into curling, baking awesome cinnamon rolls, making fun things, and tackling a multitude of home renovation projects.