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Henrik Boström is a Professor at KTH Royal Institute of Technology specializing in computer science with a focus on data science systems. His research primarily addresses trustworthy machine learning, with particular emphasis on predicting confidence through conformal prediction and explainable machine learning. Boström has developed various tools, including Python packages for Conformal classifiers and regressors, and explainable random forests. He is actively involved in mentoring and examining courses such as Programming Data Science and Research Methodology Scientific Writing, cultivating future talent in the field. Currently, Boström has open positions for postdoctoral and PhD candidates in probabilistic machine learning, underscoring his commitment to advancing machine learning research.
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