Faculty of Mathematics and Computer Science
Department of Mathematics
BabeÅŸ-Bolyai University
Education
BABEÅž-BOLYAI UNIVERSITY
February 2024 - present
Faculty of Mathematics and Computer Science
Department of Mathematics
University Lecturer in Mathematics
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IMPERIAL COLLEGE LONDON
November 2020 - February 2024
STUOD Research Associate
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IMPERIAL COLLEGE LONDON
April 2020 - October 2020
STUOD Research Assistant
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IMPERIAL COLLEGE LONDON
October 2016 - March 2020
Mathematics of Planet Earth Centre for Doctoral Training
PhD in Mathematics
Project title: Nonlinear Stochastic Transport Partial Differential Equations: Well-posedness and Applications to Data Assimilation
Supervisor: Prof. Dan Crisan
Co-supervisors: Prof. Peter Jan van Leeuwen, Prof. Roland Potthast
Defended: July 2020
IMPERIAL COLLEGE LONDON & UNIVERSITY OF READING, 2015-2016
Mathematics of Planet Earth Centre for Doctoral Training
Master of Research (passed with distinction)
Thesis title: Asymptotic Results in Approximate Nonlinear Filtering with Application in Data Assimilation
Advisors: Dr. Jochen Bröcker and Prof. Dan Crisan
UNIVERSITY OF BUCHAREST
2013-2015
Faculty of Mathematics and Computer Science
Master in Applied Mathematics in Finance, Insurance and Biostatistics, June 2015
Thesis title: Stochastic filtering: the 1-dimensional Kalman-Bucy filter
Advisor: Prof. Lucian Beznea
UNIVERSITY OF BUCHAREST
2010-2013
Faculty of Mathematics and Computer Science
Bachelor of Science in Mathematics, June 2013
Employment
Skills
Programming experience: Python, Fortran
Languages
English (advanced)
French (intermediate)
Romanian (native)
Collaborations
&
outreach
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COST Action CA24104 – STOCHASTICA: Stochastic Analysis, Modelling and Simulation for Complex Systems
September 2025 - present
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Science Communication Coordinator: responsible for all scientific communication and dissemination activities of the action at European level.
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Member of the action’s core group and four other working groups:
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SDEs: Theory and Numerical Methods (WG1)
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SPDEs: Theory and Numerical Methods (WG2)
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Stochastic Systems and Statistical Methods (WG3)
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Dissemination, Inclusion, Capacity Building, and Communication (WG5)
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Teaching
experience
Since February 2024: Lecturer in the Department of Mathematics, Faculty of Mathematics and Computer Science, UBB:
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Probability Theory (mandatory course, seminar)
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Mathematical Statistics (mandatory course, seminar, laboratory)
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Stochastic Analysis and Applications (optional course, seminar)
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Autumn term 2022-2023 - Lecturer (Imperial College London) for:
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Advanced Topics in Stochastic Processes - core course for first year PhD students within the Mathematics of Random Systems Centre for Doctoral Training (Imperial College London).
Between 2016 –2018 - Graduate Teaching Assistant (Imperial College London) for the following courses:
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Dynamical Systems II: Numerical Stochastic Differential Equations, within the Mathematics of Planet Earth Centre for Doctoral Training (2017-2018)
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Real Analysis, Imperial College London (autumn 2016-2018)
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Complex Analysis, Imperial College London (spring 2017-2018)
Organisation
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Upcoming: 24 – 25 Aprilie 2026 – A-27-a Conferințǎ AnualÇŽ a SocietÇŽÈ›ii de ProbabilitÇŽÈ›i ÅŸi StatisticÇŽ din România, Cluj-Napoca, UBB.
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Modern Approaches in SPDEs & Data Assimilation II, Sibiu, Romania, July 29 – August 2, 2025.
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Summer School on Bayesian Filtering: Fundamental Theory and Numerical Methods, May 6–10, 2024, Edinburgh.
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Modern Approaches in SPDEs & Data Assimilation I, Sibiu, Romania, July 9–13, 2023.
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Stochastic Analysis Seminar at Imperial College London (co-organiser, 2021 - 2024): This seminar is run weekly within the Department of Mathematics, with distinguished speakers from all areas of Stochastic Analysis and related topics. I co-organised the whole activity, taking care of the scientific schedule together with all other administrative tasks.
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STUOD SPDEs Seminar: This is an internal seminar I initiated and organised weekly within the STUOD research group between 2021-2022. The aim of the seminar has been to provide a framework for discussing all STUOD models from an SPDEs perspective.
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Invited session in the 2022 IMS Annual Meeting in Probability and Statistics, London, 27-30 June 2022.
Title: Stochastic Models in Fluid Dynamics
Purpose of the session: The turbulent behaviour of the multi-scale physical processes which are modelled in fluid dynamics has intrigued generations of mathematicians. More accurate representations of such processes involving stochastic perturbations has been the subject of intensive research in recent years. As a consequence, new systems of stochastic partial differential equations (SPDEs) have been introduced by combining classical fluid dynamics models with different classes of noise: additive, multiplicative, transport, rough path noise. The analyticalproperties of these SPDEs provide a rigorous probabilistic description of the underlying fluidmodel and their numerical inference is essential for subsequent applications. The purpose of this session is to present recent analytical and numerical results on this topic, while introducing the audience to modern stochastic analysis tools which enable an enhanced understanding of random phenomena.
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Co-organiser for the GAMM Minisymposium for Young Researchers in Data Assimilation, Aachen, Germany, 15-19 August 2022.
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