CV
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Contact Information
| Name | Peter Moskvichev |
| Professional Title | PhD Student |
| petervic001 [at] e [dot] ntu [dot] edu [dot] sg | |
| Location | College of Computing and Data Science, NTU, Singapore |
Education
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2026 - 2030 Singapore
PhD in Computing and Data Science
CCDS, Nanyang Technological University
- Awarded Nanyang President’s Graduate Scholarship
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2024 - 2026 Adelaide, Australia
Master of Philosophy (Statistical Machine Learning)
University of Adelaide
- Thesis: Kernel Differences Between Conditional Distributions with Applications in Uncertainty Calibration
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2021 - 2023 Adelaide, Australia
Bachelor of Mathematical Sciences (Advanced)
University of Adelaide
- Major in Applied Mathematics
Experience
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2025 Qingdao, China
Assistant Lecturer
Haide College, University of Adelaide & Ocean University of China
- Assisted in delivering tutorials to students at the Ocean University of China through the Haide College programme.
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2024 - 2026 Adelaide, Australia
Teaching Assistant
University of Adelaide & Adelaide University
- Taught corses in undergraduate statistics, probability and decision science
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2023 Adelaide, Australia
Research Intern
MIT Bigdata Living Lab
- Undergraduate researcher with the MIT Media Lab’s Adelaide office
Volunteer
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2023 - 2025 Adelaide, Australia
Co-Founder and Treasurer
Society of Quantitative Analysis and Data (SQUAD)
- Co-found a student society at the University of Adelaide with a focus on data science and quantitative trading.
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2022 - 2024 Adelaide, Australia
President and Social Media Manager
Adelaide University Mathematics Society (AUMS)
- Organised social and professional events for maths students.
Awards
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2023 David Murray Prize in Mathematical Science
University of Adelaide
Best performing student graduating a Mathematical Sciences degree
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2021 Dr Richard Oertel Scholarship
University of Adelaide
Academic scholarship to study undergraduate mathematics
Publications
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2026 Measuring Differences between Conditional Distributions using Kernel Embeddings
Preprint, arXiv:2605.02260
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2025 All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
In Australasian Joint Conference on Artificial Intelligence (AJCAI)
Skills
Programming Languages: Python, Julia, R, MATLAB
Natural Languages: English, Russian
Research Interests
Trustworthy AI: Uncertainty Quantification, Calibration, Robustness
Statistical Machine Learning: Applied Category Theory, Kernel Methods, Functional Data Analysis