Summary
Ludvig Gerdin is a software engineer with eight years of experience blending a rigorous mathematics education with hands-on data science and engineering across healthcare, fintech, and research institutions. Based in London, he has progressed from data engineering roles to team leadership and now builds software at Isomorphic Labs, bringing practical production experience in ETL, data warehouses, and ML-driven decision systems. His work includes applied research—evaluating stacked generalization for trauma triage and ordinal ML models for avalanche forecasting—demonstrating a talent for turning statistical methods into operational tools. At Froda he combined optimisation techniques and dashboarding to influence credit strategy, reflecting a knack for marrying quantitative modelling with product-facing analytics. Known on GitHub as Data @isomorphiclabs, he sits at the intersection of data science and software delivery, comfortable shipping reliable pipelines and prototyping novel ML approaches.
8 years of coding experience
7 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at KTH Royal Institute of Technology
Financial Engineering Mathematics Data Science, Financial Engineering Mathematics Data Science at EPFL
Swedish, English