Mobius Medical Systems, LP was founded by Dr. Nathan Childress. Our mission is to provide the radiation oncology community with superior, modern software while maintaining the highest levels of customer satisfaction.
Nathan Childress, PhD., DABR, Founder
Mobius Medical Management, LLC, General Partner
Mobius Medical Systems, LP
[email protected]
Dr. Childress graduated with a BS in Chemical Engineering, an MS in Nuclear Engineering (both from the University of Missouri, Columbia), and a Ph.D. in medical physics from U.T. MD Anderson Cancer Center. His dissertation involved using film dosimetry (primarily Kodak EDR2 film) to accurately measure patient-specific IMRT QA plans and compare them to doses calculated by treatment planning systems. After graduation, he moved across the street to Baylor College of Medicine and worked at five radiation oncology clinics within The Methodist Hospital System. He spent his last two years at Methodist implementing IGRT, SBRT, and SRS as the solo physicist at a satellite facility. He currently is a Section Editor for the Journal of Applied Clinical Medical Physics, a member of AAPM’s Website Editorial Board, and runs MedPhys Files, a site that allows medical physicists to freely exchange open-source files.
Stan Eshelman, Customer Support and Development
Stan Eshelman graduated with dual B.S. degrees in Mathematics and Chemical Engineering from the University of Missouri, Columbia. After graduation, Stan worked for ten years in the environmental division of Landrum & Brown, a private consulting firm specializing in the field of aviation. He performed mathematical modeling and detailed analysis of aircraft noise and air quality effects, typically in support of federally mandated environmental studies. He designed custom software for robust modeling of three-dimensional dispersion characteristics of air traffic, and for correlating measured noise on the ground with aircraft flights. He has considerable experience in communication with groups large and small, ranging from industry experts to the general public.
In his free time, Stan enjoys watching his hometown Kansas City Chiefs and Royals, playing sports such as golf and kickball, and going out to catch a good movie.
Eli Stevens, Lead Software Developer
Eli Stevens graduated magna cum laude with a BS in computer science, math minor from the University of Missouri, Columbia. He was a first-round hire at Protego Networks, a silicon valley startup specializing in automated network security monitoring and threat management. He spent three years there as a software engineer, acting as tech lead for the user interface team. After Protego Networks was acquired by Cisco Systems for $65M, he moved to Yahoo! Search, where he spent five years on the search and advertising metrics and analysis team. There, his focus was on building systems for distributed data processing, scalability, and workflow management.
In his free time, he enjoys day hikes with his wife, contributing to a handful of small open source projects, geeky board games, and cooking.
Geordan Rosario, Software Developer
Geordan Rosario graduated with a B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley. He worked as a system administrator and software engineer for Euphorion Inc. for three years, a software engineer at Media Net Link for another three years, and most recently as a senior software engineer at Yahoo! Search alongside Eli Stevens for six years. His work at Yahoo! has included software design and deployment, hardware and network infrastructure planning, and overall systems planning for high availability and scalability. He designed and deployed server topologies that ensured web and data services would remain available and accessible across multiple colocation facilities, even in the event of the total loss of one datacenter.
His non-work interests are programming, video and board games, playing keyboard and guitar, photography, astronomy, and racing (if he could ever get back into it).
David Eklund, Software Developer
David Eklund has a B.S. in Computational Engineering Science from the University of California, Berkeley. He worked as a research assistant in the Inertial Confinement Fusion program at Lawrence Livermore National Laboratory before helping to develop a context-aware semantic search engine at Virtual Synaptics. Afterwards he worked on cloud storage and synchronization at Syncplicity before moving to quantitative neuromarketing firm Emsense, where he worked to develop and implement algorithms to analyze and interpret EEG data into meaningful metrics of engagement and emotion.
David enjoys hiking, mountain biking, and woodworking in his spare time.
