Zachary Serlin

Zachary Serlin is a technical staff member at MIT Lincoln Laboratory with a primary focus on algorithms for decision making under uncertainty and motion planning for autonomous systems.

His expertise includes working with high-level specification languages, particularly in distributed multi-robot systems.

Zachary's research also encompasses distributed computer vision algorithms, safe reinforcement learning techniques, and tendon-driven bio-inspired soft robotics.

He holds a Ph.D. in Mechanical Engineering from Boston University College of Engineering, an MS in Mechanical Engineering, and a BS in Mechanical Engineering magna cum laude, both from Tufts University.

Throughout his career, Zachary has been affiliated with prestigious organizations like MIT Lincoln Laboratory, where he currently serves as a technical staff member.

Prior to his current role, he held positions such as Student Technical Assistant, Surveillance Systems Summer Analyst, and Graduate Student Researcher at MIT Lincoln Laboratory.

He has also been a Graduate Teaching Fellow at Boston University, a Mechanical Engineering Intern at Barrett Technology, Inc., and a Researcher at Tufts Autonomous Systems and Robotics Laboratory.

For more detailed information about Zachary Serlin's work, please refer to his website at zacharyserlin.com.