Summary
Matthew Beach is a Senior Applied Scientist with 11 years of experience at the intersection of machine learning and quantum condensed matter physics, currently working on Alexa AI after contributing to Amazon Braket. He holds advanced physics degrees (PhD candidate at University of Waterloo/Perimeter Institute) and has a strong track record applying modern ML—RBMs, RNNs, GANs, flows—to quantum many-body problems and quantum tomography. His background spans industry quantum computing roles (Zapata, AWS Braket) and hands-on research optimizing HPC/GPU code, maintaining research infrastructure, and contributing to open-source scientific software. Matthew combines deep theoretical physics training with practical production experience in applied ML for quantum systems, and is known for translating complex numerical methods into scalable implementations.
11 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at The University of British Columbia
Bachelor of Science (B.Sc.) Theoretical Physics Minor Mathematics, Bachelor of Science (B.Sc.) Theoretical Physics Minor Mathematics at University of Guelph
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Waterloo