Summary
Joan Pujol is a hands-on data science manager with 10 years of experience building and guiding interdisciplinary teams to deliver ML-driven, real-world products from research to production. Based in Barcelona, she has led cross-functional teams at ZOE—scaling studies to millions of users, publishing in Nature Medicine and The Lancet, and translating findings into public policy and product features. She combines a strong academic background (PhD in Machine Learning, Cum Laude) and prolific research output with practical engineering work, migrating pipelines to DBT/BigQuery and deploying models in Vertex AI. Joan has repeatedly built science platforms and RCT infrastructure to support large trials (e.g., BIOME and Efficacy studies) and validated consumer products like Daily30. Known for bridging science, product and engineering, she standardises mentoring and career growth across teams while retaining a hands-on focus on causal inference and personalized nutrition. An uncommon strength: she moves seamlessly between first-author ML research and production-grade data platforms that directly impact health outcomes.
10 years of coding experience
11 years of employment as a software developer
Visiting Researcher - MEng Nanonetworks, Visiting Researcher - MEng Nanonetworks at Georgia Institute of Technology
MSc in Information and Communication Technologies Recommender Systems, MSc in Information and Communication Technologies Recommender Systems at UPC - ETSETB TelecomBCN
UPC Universitat Politècnica de Catalunya
Visiting Researcher - PhD Topic modelling, Visiting Researcher - PhD Topic modelling at Monash University
Catalan, Spanish, English