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Arkady_Wey_Picture

Arkady Wey

MSci | UCL
Status
Postgraduate Student
Contact form
https://www.linkedin.com/in/arkady-wey
+44 7843 194862
Research groups
  • Oxford Centre for Industrial and Applied Mathematics

Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Teaching
  • Teaching Assistant | Mathematical Models of Financial Derivatives (B8.3)
  • Teaching Assistant | Applied Partial Differential Equations (B5.2)
Prizes, awards, and scholarships

Scholarships/studentships:

  • EPSRC InFoMM Studentship, University of Oxford, 2018-2022
  • Rose Scholarship, University College London, 2014-2018
  • LBG Scholarship, Lloyds Banking Group, 2014-2018

Prizes:

  • 1st | Student Competition 2021 | ECMI
  • 1st | F Factor Entrepreneurs Regional Competition 2020 | Founders of the Future
  • 2nd | TakeAIM Competition 2019 | Smith Institute
Further details
Arkady is a third year postgraduate student in the Industrially Focused Mathematical Modelling (InFoMM) Centre for Doctoral Training (CDT). He is also part of the Centre for Industrial and Applied Mathematics (OCIAM). His postgraduate research is in collaboration with W.L. Gore & Associates, Inc., and focuses on network models for particle filtration, and network homogenisation, a novel computationally-tractable method for extracting global information from networks. He has also worked on size-structured continuum filtration models, and a model for a glass-drawing process. His other research interests include financial mathematics, and stochastic agent based models for epidemic spreading. Arkady is also a fellow of the Enterprise Process Labs - High Intensity Training entrepreneurship program, and is a participant in the ImagineIF! pre-accelerator for scientific start-ups.
Major / recent publications
  • A. Wey, A. Champneys, R.J. Dyson, N.A. Alwan, M. Barker, The benefits of peer transparency in safe workplace operation post pandemic lockdown, Accepted: Journal of the Royal Society Interface (27 Jan 2021)
Research interests

Network and agent based approaches for modelling real-world and industrial problems.

Mathematical areas:

  • Derivation, and explicit and numerical solution of partial, ordinary, and stochastic differential equations
  • Stochastic and deterministic network dynamics
  • Stochastic agent based modelling

Industrial areas:

  • Particle movement and filtration
  • Epidemic spreading
  • Finance and financial derivatives
  • Glass manufacture

 

 

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