Jorge Tapia
About Jorge Tapia
Jorge Tapia is a Senior Software Engineer at Rune Labs, where he has worked since 2021. He has extensive experience in software engineering and mobile development, contributing to significant advancements in medical technology and neuroscience research.
Work at Rune Labs
Jorge Tapia has been employed at Rune Labs as a Senior Software Engineer since 2021. He is based in the San Francisco Bay Area. His role involves developing software solutions that integrate biometrics and medical data, contributing to advancements in neuroscience research and medical technology.
Previous Experience in Software Engineering
Prior to his current position, Jorge Tapia worked at several notable companies. He served as Mobile Engineering Lead at UniKey Technologies for three months in 2020. He also held the position of VP, Software Engineer III at Bank of America for seven months in 2021. Additionally, he was the Lead Mobile Developer at FanHero from 2016 to 2020, and worked as Application Architect V for Bank of America through Icon Information Consultants from 2020 to 2021.
Education and Expertise
Jorge Tapia studied at Full Sail University, where he earned a Bachelor of Science degree from 2015 to 2016. His educational background supports his expertise in software engineering and mobile development, which he has applied throughout his career in various roles.
Contributions to Medical Technology
Jorge Tapia has made significant contributions to medical technology through his work. He architected sensor data recording and streaming systems that integrate biometrics from the Apple Watch with data from medical implants. He also played a key role in developing watchOS functionality that enabled the Apple Watch to receive FDA clearance as a medical device for Parkinson's disease symptom data collection.
Collaboration with Neuroscience Research
Jorge Tapia has collaborated with leading neuroscience clinical research groups, including UCSF, Brown, Mount Sinai, and the University of Washington. He developed novel symptom detection algorithms in partnership with neuroscientists, providing actionable insights for neurological conditions.