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The minds behind Mobi: Proven leaders in AI for real-world applications

Mobi’s technology is grounded in world-class research from MIT. Our team of experts in AI planning and collaboration have turned complex theory into practical systems that help businesses make faster, smarter, and more resilient decisions—even when conditions are uncertain and stakes are high.
Image of Simon, Yuening, Brian, Jacob, and Peng, researchers at Mobi
Image of Professor Brian Williams giving a talk
Image of Simon, Yuening, Brian, Jacob, and Peng, researchers at Mobi
Image of Professor Brian Williams giving a talk
Brian Williams, Mobi Chief Scientist, MIT CSAIL Faculty

AI for complex, high-stakes operations

A pioneer in intelligent systems, Brian develops AI that enables fleets of autonomous systems to coordinate, adapt to changing goals, and recover from failures in real time. His work powers self-monitoring, self-repairing technology that can act independently on our behalf—utilized in deep-sea robotics and Mars rover missions, where reliability is mission-critical. Featured research here.

Peng Yu, CTO (PhD, MIT)

AI that explains, adjusts, and aligns with human goals

Created AI that helps users resolve conflicting priorities and quickly align on feasible, high-impact decisions. This makes AI tools easier to trust and more effective in operational settings—especially when plans need to shift on the fly. Featured research here.

Simon Fang, Staff Research Scientist (PhD, MIT)

Fast, risk-aware planning for uncertain conditions

Designed powerful planning algorithms that find the best course of action—even when data is incomplete and outcomes are uncertain. His work enables organizations to rapidly generate operational plans that are both efficient and resilient—whether coordinating fleets, allocating resources, or responding to disruptions in complex logistics and transportation networks. Featured research here.

Yuening Zhang, Senior Research Scientist (PhD, MIT)

AI that supports and strengthens human teams

Developed methods for AI systems to detect when teams are misaligned and step in with helpful communication or adaptation. Her work helps keep large, distributed teams coordinated—whether in the field, on the factory floor, or across a control center. Featured research here.

Jacob Broida, Staff Algorithm Engineer (MS, MIT)

AI that understands, inquires, and collaborates Intelligently

Built decision-making systems that help AI recognize when a plan is missing information, ask the right questions, and adjust accordingly. His work enables software to act like a capable teammate—essential in fast-moving environments where not everything goes to plan. Featured research here.

Learn more

about how Mobi's research is shaping solutions to some of the world's most difficult problems.

Mobi resources