Kyle Throssell

Kyle Throssell is a computational scientist with six years of research experience in chemistry, focusing on approximate models to Hartree-Fock. They completed a PhD in Theoretical Chemistry at Wesleyan University, where their doctoral work evaluated Neglect of Diatomic Overlap methods and developed low-cost semi-empirical methods to enhance predictive confidence. Kyle has held positions as a Graduate Student, Postdoctoral Researcher at Rice University, and in various engineering roles, including Senior Manager at Montai Health and Senior Applied AI/ML Scientist at TetraScience. They are dedicated to applying their skills to complex problems in an organization that values education and scientific inquiry.