Spiro Stilianoudakis, PhD
About Spiro Stilianoudakis, PhD
Spiro Stilianoudakis, PhD, is a Senior Scientist at Procter & Gamble with a background in biostatistics and machine learning. He has extensive experience in academia and industry, focusing on predictive modeling and web-based applications.
Company: Procter & Gamble
Spiro Stilianoudakis, PhD, is currently a Senior Scientist at Procter & Gamble, a role he has held since 2023. Previously, from 2021 to 2023, he worked as a Statistician at the same company in Cincinnati, Ohio, United States. His responsibilities at Procter & Gamble include building web-based applications using R-shiny tools and R-plumber APIs and leveraging sensor and wearable data to develop predictive and inference-based models for biometric endpoints.
Previous Roles: VCU School of Dentistry and Hunter Holmes Mcguire VA Medical Center
Before his tenure at Procter & Gamble, Spiro Stilianoudakis served as a Statistical Consultant at the VCU School of Dentistry from 2018 to 2021 in Richmond, Virginia. Prior to this role, he was a Research Assistant at the Hunter Holmes Mcguire VA Medical Center for four months in 2017, also in Richmond, Virginia. These roles provided him with valuable experience in statistical consulting and research assistance.
Title: Senior Scientist
Spiro Stilianoudakis works as a Senior Scientist at Procter & Gamble. In this capacity, his work focuses on developing predictive models and inference-based models using sensor and wearable data. He also builds web-based applications, such as R-shiny tools and R-plumber APIs, to support his research and data analysis objectives.
Education and Expertise: PhD in Biostatistics
Spiro Stilianoudakis earned his Doctor of Philosophy (PhD) in Biostatistics from Virginia Commonwealth University, where he studied from 2016 to 2021. His research includes supervised and unsupervised machine learning, dimensionality reduction, and time series data analyses such as state space models, dynamic linear models, and hidden Markov models. He also developed and published a machine learning pipeline for predicting genomic coordinates of Topologically Associating Domains (TADs) as an R package on Bioconductor.
Previous Roles: Academic and Teaching Experience
Spiro Stilianoudakis has a diverse background in academia and teaching. From 2014 to 2016, he was a Graduate Assistant at Marshall University, where he also earned his Master's degree in Mathematics with an Emphasis in Statistics. He later served as a Graduate Assistant at Virginia Commonwealth University from 2016 to 2017. Additionally, he gained teaching experience as a Mathematics Teacher at Hurricane High School in Putnam County, WV, from 2013 to 2014.