Summary
Troy Kling is a Mathematics Ph.D. student at UC Santa Barbara with a decade of experience applying advanced math and machine learning to real-world problems, from NASA JPL radar research to wearable medical devices. He holds triple undergraduate majors in Mathematics, Computer Science, and Statistics (3.98 GPA) and an MS in Mathematics, combining deep theoretical grounding with practical algorithm development. At Vivalink he led teams and shipped clinically validated algorithms—cuffless blood pressure, AF detection, and respiratory rate estimators—demonstrating an uncommon blend of medical-device rigor and signal-processing skill. His background in satellite remote sensing and GWAS software integration shows a knack for translating complex statistical methods across domains. Based in Los Angeles, he mentors peers and trains data scientists, bridging academia and industry while pursuing research in pure mathematics and astronomy.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Mathematics, Computer Science, and Statistics, 3.98 GPA, Bachelor of Science, Mathematics, Computer Science, and Statistics, 3.98 GPA at University of North Carolina at Wilmington