Kayla Frisoli is a statistician and data scientist with a decade of experience leading analytics teams in the medical devices sector, currently serving as Senior Manager of Data Science at LivaNova. She holds a PhD from Carnegie Mellon in Statistics & Data Science and developed statistical methods for record linkage, clustering, topic modeling, networks, and active learning during her graduate research. A proven educator and mentor, she has taught and advised students across capstone projects and courses, earning multiple TA excellence awards and leading the CMU Data Science Initiative capstone fellowship. Kayla combines rigorous methodological expertise with practical product impact—translating complex statistical research into production analytics for regulated health technology. Outside work she stays active in the Pittsburgh data community and applies her analytical curiosity to cooking and community service.
10 years of coding experience
7 years of employment as a software developer
University of California, Los Angeles
University of Wisconsin-Madison
Doctor of Philosophy (Ph.D.), Statistics & Data Science, Doctor of Philosophy (Ph.D.), Statistics & Data Science at Carnegie Mellon University
Contributions:31 pushes, 1 branch in 2 years 7 months
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