Summary
Luke Guerdan is a PhD student in Human–Computer Interaction at Carnegie Mellon with a decade of experience bridging software engineering, data science, and cognitive psychology to study online human behavior. He holds an MPhil in Computer Science from Cambridge (Distinction) and dual B.S. degrees in Computer Science and Psychology, and has applied interdisciplinary methods from EEG fusion to large-scale algorithmic systems. His background includes research internships at Microsoft and DAAD-funded cognitive science work in Berlin, co-founding a startup, and engineering roles where he optimized performance and built production-ready pipelines. Luke focuses on machine learning and product research that makes digital interactions more understandable and humane, often combining principled models with practical engineering trade-offs. An underrated strength is his fluency across experimental design and production systems, allowing him to move insights from lab-scale neural data to deployable features and policies.
10 years of coding experience
5 years of employment as a software developer
Master of Philosophy - MPhil, Computer Science, Distinction, Master of Philosophy - MPhil, Computer Science, Distinction at University of Cambridge
Doctor of Philosophy - PhD, Human--Computer Interaction, Doctor of Philosophy - PhD, Human--Computer Interaction at Carnegie Mellon University
University of Missouri
English, Spanish