Summary
Martin Saveski is an Assistant Professor at the University of Washington with 12 years of experience at the intersection of Computational Social Science, social network analysis, machine learning, and causal inference. He develops novel computational methods and leverages large-scale datasets to study real-world social problems, bringing academic rigor from postdoctoral work at Stanford and practical industry exposure from internships at Facebook, LinkedIn, Amazon, and Yahoo. Based in Seattle, he combines teaching and research with a strong international academic background from MIT Media Lab, UPC, and Paris VI. Notably, his career blends deep methodological work with hands-on engineering experience gained early in software roles and research labs, enabling him to translate complex causal and network models into scalable analyses.
12 years of coding experience
1 year of employment as a software developer
MIT Media Lab, MIT Media Lab at Massachusetts Institute of Technology
Master of Science (M.Sc.), Master of Science (M.Sc.) at University Pierre et Marie Curie (Paris VI)
UPC Universitat Politècnica de Catalunya
B.Sc., B.Sc. at Staffordshire University