Dylan Colli is a Senior Software Engineer and Robotics MS researcher with six years of experience building perception and tracking systems in C++ and Python for autonomy and agricultural robotics. He has industrial experience shipping sensor-fusion target tracking at Qualcomm/Arriver and now applies probabilistic deformable-object tracking and differentiable simulation in the Berenson ARM Lab and at Berkshire Grey for bimanual manipulation. His background spans computer vision, numerical modeling of cardiac physiology, and optimization—bringing a rare combination of biomedical modeling rigor and production-grade perception engineering. Dylan has led multi‑engineer projects integrating Spot robots, implemented PyTorch-based probabilistic trackers, and improved runtime performance in safety-critical modules, demonstrating both research depth and practical impact. Based in Waltham, MA, he focuses on making perception for deformable objects robust and self-supervising for long-horizon planning in real-world robotic systems.
6 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Robotics, Master of Science - MS, Robotics at University of Michigan
Master of Science - MS (Transferred to University of Michigan Before Completion), Computer Science, Master of Science - MS (Transferred to University of Michigan Before Completion), Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at University of Kentucky
High School Graduate, High School Graduate at McCracken County High School
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Dylan Colli - Senior Software Engineer, R&D at Berkshire Grey