Summary
Tyler Stuessi is an engineering manager specializing in machine learning with 11 years of experience building and operationalizing data-driven solutions for healthcare. He has progressed from software development and data science roles at Epic and naviHealth to senior ML research and engineering leadership at 98point6 and SmarterDx, where he now leads ML engineering remotely. Tyler combines a strong academic foundation (MS in Analytics from Georgia Tech, BS in CS & Math) with hands-on experience deploying actionable models that improve patient and provider outcomes. He cares deeply about the ethical use of ML in healthcare, pairing technical rigor with product-focused impact. Known for moving prototypes into production and mentoring cross-functional teams, he brings a pragmatic approach to model evaluation, monitoring, and governance. Based in Spring Hill, Tennessee, he blends research sensibility with real-world delivery across clinical and population-health contexts.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Bachelor’s Degree Computer Science and Mathematics, Bachelor’s Degree Computer Science and Mathematics at University of Tennessee, Knoxville