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Education

IMPERIAL COLLEGE LONDON

November 2020 - present

STUOD Research Associate

 

 

IMPERIAL COLLEGE LONDON

April 2020 - October 2020

STUOD Research Assistant

 

 

IMPERIAL COLLEGE LONDON

October 2016 - March 2020

Mathematics of Planet Earth Centre for Doctoral Training

PhD 

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

Skills

Programming experience:  Python, Fortran

Languages

English (advanced)

French (intermediate)

Romanian (native)

Employment
Teaching
experience

Autumn term 2022-2023 –Lecturer for:

 

  • 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 for the following courses:

  •  Dynamical Systems II:Numerical Stochastic Differential Equations, within the Mathematics of Planet Earth Centre for Doctoral Training (2017-2018)

  • Real Analysis, Imperial College London (autumn 2016-2018)

  • Complex Analysis, Imperial College London (spring 2017-2018)

Organisation
  • Stochastic Analysis Seminar at Imperial College London (co-organiser): This seminar is run weekly within the Department of Mathematics, with  distinguished speakers from all areas of Stochastic Analysis and related topics. I co-organise the whole activity, taking care of the scientific schedule together with all other administrative tasks.

  • 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 is to provide a framework for discussing all STUOD models from an SPDEs perspective.

  • 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.

  • Co-organiser for the  GAMM Minisymposium for Young Researchers in Data Assimilation, Aachen, Germany, 15-19 August 2022.

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