Summary
Paulo Sampaio is an AI researcher and PhD student based in the Lucerne area with a decade-plus track record of turning machine learning research into industry impact across healthcare, retail, legal, finance and telecom. He has delivered production-ready solutions from LLM-driven medical report parsing to surgical image segmentation, image classification/object detection, and similarity search for fashion, blending deep learning with strong engineering practices. Before academia he led analytics and data science teams at companies including EDITED, McKinsey/QuantumBlack and JoGo, and earlier built revenue-optimisation systems in aviation, giving him rare domain breadth across product, operations and research. He holds an MS in Statistics & Operations Research and an MBA, and his background in revenue management and operations research informs a pragmatic approach to model-driven decision making. Colleagues describe him as someone who bridges theoretical rigor and business value—equally comfortable publishing experimental results and shipping scalable pipelines.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of Bern
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at FGV - Fundação Getulio Vargas
UPC Universitat Politècnica de Catalunya
University of São Paulo
English, Portuguese, Spanish, French