Summary
Can Kockan is a computational scientist based in Cambridge, Massachusetts with three years of professional experience and an academic trajectory that spans a BSc from Bilkent and graduate work through Simon Fraser and Indiana University Bloomington culminating in doctoral studies in computer science. Currently at the Broad Institute of MIT and Harvard, he applies advanced computational methods to biomedical research, bridging rigorous academic training with practical, research-focused software development. His background suggests strengths in algorithmic thinking and large-scale data analysis common to PhD-level CS work, even if his public GitHub footprint is minimal. Colleagues likely rely on him for turning complex scientific problems into reproducible computational workflows and scalable analysis pipelines. He brings a research-minded approach to engineering—comfortable with both theoretical depth and the iterative demands of collaborative lab environments.
3 years of coding experience
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Indiana University Bloomington
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Bilkent University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Simon Fraser University