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photo_arkady-wey

Arkady Wey

DPhil | University of Oxford, MSci | UCL
Status
Postdoctoral Research Associate
+44 7843 194862
Contact form
https://www.linkedin.com/in/arkady-wey
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
Major / recent publications
  • J. Adriazola, A. Chen, P. Kramer, K. Sikorski, S. Sturm, A. Wey, Commitment Planning for Drawdown Vehicles in a Stochastic Setting, Working Paper: Mathematics in Industry (07 Sep 2022)
  • A. Puiu, A. Wey, and Others, Optimising the supply chain to
    minimise waste and delivery mileage
    , Working Paper: Alan Turing Institute DSG (23 Sep 2021)
  • 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, agent based, and continuum approaches for modelling real-world and industrial problems.

Mathematical areas:

  • Derivation, explicit and numerical solution, and analysis 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

 

 

Further details
Dr. Arkady Wey is a Post-Doctoral Research Associate in the Centre for Industrial and Applied Mathematics in
the Mathematics Institute at University of Oxford. His current research involves the design and development of research software, and its deployment in industry, for which he holds an EPSRC Impact Acceleration Award. He is a graduate of the Industrially Focused Mathematical Modelling (InFoMM) Centre for Doctoral Training (CDT). His postgraduate research was a collaboration with W.L. Gore & Associates, Inc., and focused on the development of new mathematical frameworks for particle filtration. His work includes the derivation and solution of partial integro-differential equations on continua, algebro-differential dynamical systems on networks, and the development of network homogenisation, a novel computationally-tractable method for extracting global information from networks. His other research interests include stochastic agent-based models in the context of finance and epidemics, and a model for a glass-drawing process. His research has been recognised by several awards, most recently STEM for Britain, an EPSRC Doctoral Prize, and SIAM 3-Minute Thesis prizes. Arkady is a fellow of the Enterprise Process Labs - High Intensity Training entrepreneurship program, and is a previous participant in the ImagineIF! pre-accelerator for scientific start-ups. Along with fellow co-founders, he was a regional finalist of the Innovation Forum, and national finalist of Founders of the Future. Arkady completed his undergraduate degree in Mathematics at University College London, under scholarships from Lloyds Banking Group and the Rose Trust. He is a graduate of Sir Thomas Picton School, where he benefitted from social mobility schemes such as Oxford's UNIQ program. He is a passionate advocate of projects that aim to increase the uptake of students from low-income households into higher education.
Teaching
  • Teaching Assistant | Mathematical Models of Financial Derivatives (B8.3)
  • Teaching Assistant | Applied Partial Differential Equations (B5.2)
Prizes, awards, and scholarships

Scholarships/studentships:

  • Impact Acceleration Award @ University of Oxford | EPSRC | 2023-2024 
  • Doctoral Prize @ University of Oxford | EPSRC | 2023-2023
  • InFoMM Studentship @ University of Oxford | EPSRC | 2018-2022
  • Rose Scholarship @ University College London | Rose Trust | 2014-2018
  • LBG Scholarship @ University College London | Lloyds Banking Group | 2014-2018

Prizes:

  • 1st | Stem for Britain | The Parliamentary & Scientific Committee | 2023
  • 1st & 2nd | 3-Minute Thesis Competition (Audience's and Judge's Choice) | SIAM | 2023
  • 1st | Student Research Competition | ECMI | 2022
  • 1st | F Factor Entrepreneurship Competition (Regional) | Founders of the Future | 2020
  • 3rd | Entrepreneurship Competition (Regional) | Innovation Forum | 2020
  • 2nd | TakeAIM Competition | Smith Institute | 2019
  • Silver | Student Leadership Accreditation | University College London | 2018
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