Christopher Singer

Christopher Singer is a seasoned professional in machine learning and data science, currently serving as Lead Machine Learning Engineer at beehiiv, where the focus is on developing recommendation systems and bot detection models. Previously, Christopher worked at dMetrics as a Senior Machine Learning Engineer, architecting a Neo4j-based knowledge graph for various NLP pipelines and producing new NLP models. As Lead Machine Learning Engineer at MutualMarkets, Christopher created a B2B recommendation system to improve co-marketing campaigns. Early career experiences include roles at Lowe's Companies, Inc. as Senior Data Scientist and Data Scientist, and academic positions at UNC Charlotte involving research in computational biophysics and teaching. Christopher holds a PhD in Bioinformatics and Computational Biology, as well as a Master's in Applied Physics, and dual Bachelor's degrees in Physics and Mathematics from the University of North Carolina at Charlotte.