Peter Moskvichev
School of Mathematical Sciences
College of Science
Peter Moskvichev is a Master of Philosophy student at the School of Computer and Mathematical Sciences, University of Adelaide, with a broad interest in both the theory and applications of statistical data science.
My research goal is to create trustworthy AI with the help of uncertainy quantification of machine learning models. My current work looks at uncertainty calibration of probabilistic predictive models using kernel methods.
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Education
Date Institution name Country Title 2024 - 2026 University of Adelaide Australia Master of Philosophy 2021 - 2023 University of Adelaide Australia Bachelor of Maths Sci. (Adv) -
Research Interests
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Book Chapters
Year Citation 2026 Moskvichev, P., & Sejdinovic, D. (2026). All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators. In Lecture Notes in Computer Science (pp. 274-287). Springer Nature Singapore.
DOI -
Conference Papers
Year Citation 2025 Moskvichev, P., & Sejdinovic, D. (2025). All Models Are Miscalibrated, But Some Less So: Comparing Calibration
with Conditional Mean Operators.
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