Summary
Adam Luchies is a Staff Ultrasound Systems Engineer with 11 years of experience applying signal processing, acoustic propagation modeling, and machine learning to medical ultrasound. He progressed from doctoral research and a postdoc—where he developed neural-network-based beamforming to suppress off-axis scattering and reverberation—to senior and staff roles at Siemens Healthineers, driving system-level improvements in image quality and quantitative tissue characterization. Adam combines deep theoretical expertise (Ph.D. in ECE) with practical algorithm implementation and validation across MATLAB, simulation, and experimental backscatter data. He is adept at turning research breakthroughs into deployable ultrasound methods that address real-world imaging artifacts. Based in Bellevue, WA, he brings a rare blend of academic rigor and product-focused engineering that shortens the path from novel acoustic models to clinical-ready systems.
11 years of coding experience
11 years of employment as a software developer
M.S., Electrical and Computer Engineering, M.S., Electrical and Computer Engineering at University of Illinois Urbana-Champaign
B.S., Engineering, B.S., Engineering at John Brown University