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Isak Samsten is a Senior Lecturer at Stockholm University, specializing in Data Science and Machine Learning. He holds a B.Sc. degree completed in 2010, an M.Sc. in 2012, and a Ph.D. in Computer Science awarded in 2017. His primary research area encompasses explainable and interpretable machine learning, with a particular emphasis on temporal data and time series analysis. His research aims to develop systems that provide insights into predictive models, focusing on questions such as 'Why was this prediction made?' and 'What changes are necessary for an alternate outcome?'. In addition to his research, he is actively involved in teaching various courses, including Research Topics in Data Science, Programming 2, Parallel Distributed Programming, and Data Mining. He also supervises undergraduate and master's theses, guiding students through their academic work in the field of Data Science.
Stockholm University • Kista, Sweden
Teaching and supervising students in Data Science and Machine Learning courses.
Includes Analytical Chemistry, Organic Chemistry, Biochemistry, and Sustainable Chemistry.