John Porterfield co-founded BridgeSource Medical with the goal of applying innovative engineering solutions to long-standing medical problems, specifically in the fields of cardio-pulmonary monitoring and therapy, implanted devices, and robotics. As the former CTO, cofounder, and first paid employee of Admittance Technologies, Inc., he was involved in all aspects of clinical design, fundraising, regulatory navigation, intellectual property management, project management, and team building.  

Dr. Porterfield received his BS in Electrical Engineering from Oklahoma State University and his MSE and PhD both in Electrical Engineering from The University of Texas at Austin.

Dr. Anil Kottam previously worked at Admittance Technologies in 2013, after several years of experience designing systems for pre-clinical research in the biomedical industry. He has co-authored multiple papers on the measurement of electrical properties of tissue and has designed and developed instrumentation and algorithms for in vivo heart volume measurements. Dr. Kottam has many years of experience in using conductance catheter technology to determine volumes and pressures in both large and small animals and has a profound understanding of the benefits and flaws of hemodynamic measurement techniques. He is actively involved in implementing more accurate algorithms, experimental techniques and instrumentation to quantify disease states, and allow for new therapies.

Dr. Kottam received his MSE and PhD in biomedical engineering from the University of Texas at Austin.

Dr. John Walmsley joined BridgeSource Medical in 2021. He brings over ten years’ experience in translational academic research in cardiology based on combining patient data with system level computational modelling. His expertise is grounded in cardiac pacemaker and mechanical device therapies, cardiac imaging, and hemodynamic interactions within the cardiovascular system. He has also served as a consultant to a Medtronic plc on novel device development. Dr. Walmsley is actively involved in both design of novel devices and determining optimal application areas for new technologies. A list of research publications can be found here.
Dr. Walmsley received his M.Math in Mathematics and D.Phil. (PhD) in Computational Cardiac Electrophysiology from the University of Oxford, Oxford, UK.

Austin McElroy has been a research scientist for almost 20 years, having worked in optics prior to going to graduate school in 2019 to pursue a M.S. in Electrical Engineering. He has transitioned to embedded systems and has enjoyed developing a strong background in Rust, including some open source communications protocols used on various projects. Though Rust is his primary language, he has also worked on projects in C, C++, Flutter, Svelte, SvelteKit, Typescript / Javascript, Python.

Austin enjoys mountain biking the South Austin Trail network and Greenbelt, swimming, hiking, programming, and most of all, spending time with his son Liam and wife Sara.

Check out his website at:

https://austin.engineer

Dr. Phillips is a mechanical engineer with extensive experience in design and manufacturing.  Throughout graduate school he developed a novel control method for selective laser sintering (SLS) additive manufacturing (AM), leading to a substantial improvement in manufacturing consistency.  After graduating, Dr. Phillips continued to work in the area of AM as a research fellow, developing new AM machines and materials.  He implemented a deep-learning neural network approach that allowed for simulated data to be applied to a real-world AM system to provide in-situ monitoring and improved process control.  Throughout his tenure as a research fellow, Dr. Phillips worked on a wide range of AM-related projects, including developing materials and manufacturing methods for structured lithium-ion batteries, designing a novel high-precision AM system, and using AM to create 3-dimensional circuits.  He also taught a course on design methodology at the University of Texas at Austin, teaching students how to bring an idea from conception to functional prototype.