Summary
Maximilian Stölzle is a robotics researcher and software engineer with a decade of experience bridging academic research and product-focused development. He holds an MS from ETH Zürich and completed a PhD at TU Delft on learning and control for soft robots, with collaborations at MIT and ESA that produced work on neural-network-enhanced planning and occlusion-aware terrain mapping. Currently a Postdoctoral Associate at MIT CSAIL after research roles at TU Delft and Disney Research, he combines rigorous physics-informed modeling with modern learning methods to make soft and hybrid robot control both safe and precise. He also brings startup engineering chops from co-leading development at Quap GmbH—shipping frontend/back-end features, AWS migrations and payment integrations—so he’s comfortable taking ideas from prototype to production. Based in Cambridge, MA, Maximilian uniquely pairs systems-level product experience with deep expertise in control, simulation and learned models for embodied agents. Outside core research he has led student teams in rocketry and real-time flight software, showing a consistent knack for turning complex dynamics into reliable systems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering at TU Delft | Mechanical Engineering
University College London
Gymnasium Untere Waid
Swiss Upper Secondary School Diploma, Swiss Upper Secondary School Diploma at Kantonsschule Romanshorn
Sentinel Secondary School
Master of Science - MS, Mechanical Engineering - Major in Robotics, Systems and Control, Master of Science - MS, Mechanical Engineering - Major in Robotics, Systems and Control at ETH Zürich
German, English, French