Dr Maryam Parvizi PhD

Dr Maryam Parvizi

School of Mathematics
Assistant Professor

Contact details

Address
School of Mathematics
Watson Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Maryam Parvizi is an Assistant Professor in the School of Mathematics at the University of Birmingham. Her research sits at the intersection of applied mathematics, scientific computing, and mathematical modelling, with a particular focus on the development of numerical methods for solving complex partial differential equations (PDEs). She is especially interested in applications across electromagnetics, mechanics, biology, and uncertainty quantification.

Prior to this role, Maryam was a Research Fellow in Industrial and Applied Mathematics at the University of Birmingham, working with Professsor Fabian Spill. She also held an Alexander von Humboldt Fellowship and a postdoctoral position at Leibniz University Hannover, supervised by Professor Thomas Wick, where she was a scientific member of the Cluster of Excellence PhoenixD. Additionally, she was a visiting scholar at the University of Oxford, hosted by Professor Patrick Farrell.

Find out more on her personal webpage.

Qualifications

PhD (Dr. rer. nat.) in Applied Mathematics, TU Wien, Austria, 2021

Research

Research themes

  • Numerical analysis of PDEs
  • Scientific computing
  • Mathematical biology
  • Uncertainty quantification
  • Data-driven methods

Research activity

Maryam's research centres on the development of computational and mathematical models for complex systems in biology, biophysics, and engineering, with particular emphasis on the numerical analysis of partial differential equations, scientific computing, uncertainty quantification, and machine learning.

Other activities

  • Referee for journals including Computational and Applied Mathematics, Engineering with Computers, Applied Mathematics and Computation, Journal of Computational and Applied Mathematics, and more
  • Organised mini-symposium: Multiphysics and Multiscale Modelling of Non-local Phase-field Fractures, GACM 2022
  • Scientific member of the Cluster of Excellence PhoenixD (2020–2024)
  • Industrial collaborations with Verinnogen and Unicorn Biotechnologies on tumor measurement and stem cell modeling

Publications

Recent publications

Article

Khodadadian, E, Mirsian, S, Shashaani, S, Parvizi, M, Khodadadian, A, Knees, P, Hilber, W & Heitzinger, C 2025, 'A Bayesian inversion supervised learning framework for the enzyme activity in graphene field-effect transistors', Machine Learning with Applications, vol. 21, 100718. https://doi.org/10.1016/j.mlwa.2025.100718

View all publications in research portal