Henrik Boström
Professor
Details
Researcher
About me
I am professor of computer science - data science systems. My research concerns trustworthy machine learning, and focuses in particular on uncertainty quantification (conformal prediction) and explainable machine learning. As results from — and tools for — this research, I have developed the Python packages crepes (Conformal classifiers, regressors and predictive systems) and xrf (Explainable random forests).
Regarding open positions: We currently do not have any openings in my group - all open positions at KTH are announced here. Do not submit any application or expression of interest directly to me.
Regarding internships:I have unfortunately no possibility of hosting external undergraduate students. If you are a researcher or a PhD student that would be interested in visiting us, you are very welcome to reach out.
Courses
Conformal Prediction (FID3111), teacher, examiner
Degree Project in Information and Communication Technology, Second Cycle (IA250X), examiner
Programming for Data Science (FID3214), examiner
Programming for Data Science (ID2214), teacher, course responsible, examiner
Research Methodology and Scientific Writing (II2202), teacher