Summary
Daniel Horner is a multidisciplinary engineer and leader with 12 years of experience specializing in software and data for life sciences instrumentation, from bench research to product delivery. He has led R&D software for category-defining instruments—owning UI, automation, image processing, and closed-loop control for alignment—and later advanced platform capabilities as a Lead Staff Software Engineer at Nautilus. His background spans embedded systems, AWS IoT and FreeRTOS work at Amazon, and extensive hands-on flow cytometry expertise rooted in biomedical engineering degrees from the University of Toronto. Known for bridging systems engineering and software architecture, he combines regulatory and field-support experience with cloud and edge development. Based in Seattle, he brings a track record of turning complex laboratory problems into robust, productized solutions. An understated strength is his ability to navigate both low-level hardware constraints and high-level distributed software design to accelerate instrument delivery.
13 years of coding experience
18 years of employment as a software developer
M ASc., Biomedical Engineering, M ASc., Biomedical Engineering at University of Toronto
University of Toronto Schools
French, German, Hungarian