Summary
Mathew Halm is an Applied Scientist II at Amazon Robotics with 12 years of engineering experience blending machine learning, mechanics, and systems software to advance robotic manipulation in warehouse environments. He completed a PhD in Mechanical Engineering at Penn’s GRASP Lab, where his research married data-driven models with physical mechanics to enable robots that better interact with unstructured environments. Mathew’s background spans internships and roles in aerospace (Blue Origin) and industry-scale systems (LinkedIn, Riverbed), giving him a rare mix of control systems, simulation infrastructure, and production ML expertise. He has practical experience building simulation tooling for Amazon’s robotic fleets and teaching advanced stochastic processes, reflecting both hands-on implementation and the ability to communicate complex concepts. Based in San Francisco, he brings a research-first mindset to production problems, often leveraging principled probabilistic approaches in real-world robotics deployments.
12 years of coding experience
6 years of employment as a software developer
LaSallePeru Township High School
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Mechanical Engineering and Applied Mechanics, Doctor of Philosophy - PhD, Mechanical Engineering and Applied Mechanics at University of Pennsylvania