CV
Experience, education, publications, technical skills, teaching, mentoring, and academic service.
Contact Information
| Name | Adriana-Stefania Ciupeanu |
| Professional Title | Statistician, Scientific Machine-Learning Researcher, and Mathematical Modeller |
| Website | https://cadrianas.github.io |
Professional Summary
Bayesian inference, neural surrogate modelling, network science, and reproducible software for complex biological and health systems.
Experience
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2026 - 2026 Winnipeg, MB, Canada
Postdoctoral Fellow, Department of Mathematics
University of Manitoba
- Lead the machine-learning extension of a global metapopulation model for forecasting pathogen-importation risk across 238 countries and territories.
- Conceived a mechanistically informed neural-surrogate methodology for likelihood-free Bayesian inference and probabilistic forecasting.
- Designed temporally conditioned neural surrogates and comparative graph-attention and recurrent models using transportation-network and location-level features.
- Built an end-to-end Python pipeline for simulation, sampling, PyTorch training, SMC-ABC inference, uncertainty propagation, validation, and benchmarking.
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2025 - 2025 Winnipeg, MB, Canada
Instructor, Mathematical Skills (MSKL 0100)
University of Manitoba
- Held full responsibility for course delivery, assessment design, grading, learning materials, feedback, and student support.
- Nominated for the Extended Education Instructor Excellence Award in 2026.
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2023 - 2025 Winnipeg, MB, Canada
Lead Teaching Assistant and Guest Lecturer, Mathematics of Data Science
University of Manitoba
- Delivered guest lectures on graph theory and network science and developed the associated teaching materials.
- Led grading of programming assignments and contributed datasets and revisions to course assessments.
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2026 - present Winnipeg, MB, Canada
Undergraduate Research Mentor
University of Manitoba
- Guide development of a hybrid gravity-graph neural network model of inter-city mobility for spatial epidemic modelling.
- Provide methodological direction in graph neural networks, mobility modelling, experimental design, validation, and research communication.
Education
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2019 - 2026 Winnipeg, MB, Canada
PhD
University of Manitoba
Interdisciplinary Individual Studies - Mathematics and Statistics
- Supervisors: Dr. Julien Arino and Dr. Saman Muthukumarana
- Dissertation: Mathematical and statistical modelling during a pandemic event
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2016 - 2020 Winnipeg, MB, Canada
Master of Science
University of Manitoba
Mathematics
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2015 - 2016 Kingston, ON, Canada
Master of Science (Course-Based)
Queen's University
Mathematics and Statistics
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2012 - 2015 Oxford, UK
Bachelor of Science (Honours)
Oxford Brookes University
Mathematics
Publications
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2022 Mathematical Modeling of the Dynamics of COVID-19 Variants of Concern: Asymptotic and Finite-Time Perspectives
Infectious Disease Modelling
Adriana-Stefania Ciupeanu, Marie Varughese, Weston C. Roda, Donglin Han, Qun Cheng, and Michael Y. Li
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2023 Investigating Air Travel Network Changes in Canada, USA and Europe during COVID-19 Using Open Source Data
Research Square (Preprint)
Adriana-Stefania Ciupeanu, Ashani Wickramasinghe, Saman Muthukumarana, and Julien Arino
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2026 Preventing HPV-Induced Cervical Cancer in Alberta, Canada
Submitted to the Canadian Journal of Public Health
Tasfia Akhter, Adriana-Stefania Ciupeanu, Weston C. Roda, Michael Y. Li, Sheila S. Plitt, and Caitlin L. Charlton
Skills
Programming and scientific computing: Python, R, Git, GitHub, LaTeX, PyTorch, PyTorch Geometric, NumPy, SciPy, pandas, scikit-learn
Bayesian and statistical methods: MCMC, SMC-ABC, parameter estimation, identifiability analysis, uncertainty quantification, model comparison, PRCC, eFAST
Machine learning: graph attention networks, LSTM and GRU models, neural surrogate modelling, mechanistically informed machine learning
Mathematical and network modelling: ODE models, metapopulation models, temporal and spatial networks, NetworkX, igraph
Research software: Python package development, automated testing, documentation, version control, reproducible computational workflows
Awards
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2026 Extended Education Instructor Excellence Award nomination
University of Manitoba
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2022 Faculty of Graduate Studies Travel Award
University of Manitoba
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2015 IMA Prize for Academic Excellence in Mathematics
Oxford Brookes University
Service
Faculty Hiring Committee: Graduate student representative, Department of Mathematics, University of Manitoba (2024-2025)
Department and Graduate Student Association: Graduate student representative, committee member, and department councillor, University of Manitoba (2018-2019)