Summary
Julia Rozanova is a research scientist with nine years of experience blending academic rigor and applied machine learning, currently working on fraud and behavioral analytics at Visa/Featurespace in Cambridge. She holds a PhD in Computer Science from the University of Manchester and a cum laude Master's in Mathematics from Stellenbosch, reflecting strong theoretical foundations in statistics and semantics. Her background spans research roles, industry internships at Amazon and data science positions, with a focus on natural language inference, computational semantics and production-ready ML for financial crime detection. Known for moving research into operational systems, she pairs deep publication activity with hands-on engineering across the model lifecycle. Unusually for someone in fraud analytics, she brings a formal linguistics-informed perspective to model interpretability and feature engineering.
9 years of coding experience
5 years of employment as a software developer
PhD Computer Science, PhD Computer Science at The University of Manchester
Master's degree (Cum Laude) Mathematics, Master's degree (Cum Laude) Mathematics at Stellenbosch University
Russian, Afrikaans, English