Summary
Jhon Cerón-guzmán is a PhD-trained data scientist and HCI researcher with 14 years of experience building user-centered, AI-driven products across academia and industry. He blends rigorous qualitative and quantitative methods—experiments, SEM, thematic analysis, and hypothesis testing—with practical ML engineering in Python (PyTorch, scikit-learn) to create recommender systems, NLP solutions, and productionized models. At Eindhoven University of Technology he led research translating peer support needs of older adults into LLM-enabled recommenders validated through user-centric evaluations, while in industry he led a cross-functional data team to deploy customer-behavior models for marketing and fraud prevention. Comfortable shipping end-to-end systems, he also develops mobile apps with React Native and designs relational and NoSQL databases. Known for mentoring and making research actionable, he consistently bridges academic insight and business impact in digital health and financial services. Based in Bogotá, he brings a pragmatic, user-focused approach to AI that prioritizes real-world adoption and measurable outcomes.
14 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.), Systems and Computer Engineering, Master of Engineering (M.Eng.), Systems and Computer Engineering at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Human-Computer Interaction (HCI), Doctor of Philosophy - PhD, Human-Computer Interaction (HCI) at Eindhoven University of Technology
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at Universidad Cooperativa de Colombia
Spanish, English