About

Sam Way is a highly experienced computational social scientist and researcher, currently working as a Research Scientist at Spotify in New York City. With a passion for studying the human aspects of music discovery and recommendation, Sam has dedicated his career to exploring the intersection of technology and social behavior. Sam's expertise in the field of computational social science is grounded in his extensive education and experience. He holds a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Colorado Boulder, where he also worked as a Postdoctoral Research Associate. He also holds a Master of Science (M.S.) in Electrical Engineering from the University of Nebraska-Lincoln, where he also earned a dual Bachelor of Science in Electrical Engineering and Computer Engineering. Prior to his current role at Spotify, Sam gained valuable experience as a Core Data Science Intern at Facebook. He has also worked as a Research Assistant at the University of Colorado Boulder and as a Graduate Research Assistant at the University of Nebraska-Lincoln. Sam's technical skills and experience are highly relevant to his work at Spotify, where he uses his expertise in research and data analysis to drive innovation and improve the user experience. He is proficient in a range of tools and technologies, including Python, R, SQL, and machine learning algorithms. Overall, Sam is a highly skilled and experienced computational social scientist who is passionate about using technology to better understand human behavior. With nearly 6 years of relevant experience and a strong educational background, he is well-equipped to contribute to any team focused on data-driven research and analysis.