Alen Roady

Alen Roady is a research engineer at the Rehabilitation Engineering Laboratory (RELab) at ETH Zurich, specializing in the development of advanced non-invasive brain stimulation systems for stroke rehabilitation. His work on the SmartVNS project focuses on building safe and efficient data processing pipelines, implementing signal processing and machine learning algorithms to optimize neurostimulation protocols, and designing APIs for seamless integration from device to cloud.

With a master's in electrical engineering and information technology from ETH Zurich, Alen brings a unique blend of technical expertise and entrepreneurial spirit to his work. His experience spans from software engineering at industry giants like Roche Diagnostics to contributions at an ETH spin-off, Skope Magnetic Resonance Technologies, where he honed his skills in translating academic research into marketable innovations. Alen's research interests span from efficient algortihms for image reconstruction to the application of machine learning in physiological signal analysis. His previous work at Harvard Medical School on optimizing diffusion encoding gradient sequences for cardiac MR-DTI informs his approach to enhancing temporal precision of taVNS and translating complex engineering solutions into clinically viable therapies for stroke patients.