Dr Sandeep Shirgill PhD, MSci

Sandeep Shirgill

Department of Immunology and Immunotherapy
Research Fellow

Contact details

Address
Department of Immunology and Immunotherapy
School of Infection, Inflammation and Immunology
College of Medicine and Health
University of Birmingham
Edgbaston
B15 2TT

Sandeep Shirgill is a postdoctoral research fellow specialising in mathematical biology. Her work focuses on applying an interdisciplinary approach, combining both mechanistic and data-driven models to predict cell behaviour under various conditions.

Qualifications

  • Member of the Institute of Mathematics and its Applications (IMA)
  • PhD in Mathematical Biology, University of Birmingham, 2024
  • MSci in Theoretical Physics and Applied Mathematics, 2019

Biography

Sandeep Shirgill graduated from the University of Birmingham in 2019 with an MSci in Theoretical Physics and Applied Mathematics, specialising in mathematical biology for her Master's project. She went on to complete an interdisciplinary PhD at the University of Birmingham in 2024, investigating the effects of metal ions released from bioactive glass fibres on wound-associated biofilms, under the supervision of Dr Sarah A. Kuehne, Dr Gowsihan Poologasundarampillai, and Dr Sara Jabbari.

She is currently a postdoctoral researcher in the School of Infection, Inflammation, and Immunology at the University of Birmingham, working with Professor Dylan Owen. Her research focuses on using deep learning to analyse the spatial organisation of proteins within cells, imaged through single-molecule localisation microscopy, a super-resolution microscopy technique.

Teaching

  • Semester 2 - LM Topics in Applied Mathematics (4TAM) (Module Lead)

Research

  • Utilising deep learning to compare protein organisation in cells imaged with single-molecule localisation microscopy
  • Predicting the diagnosis of acute compartment syndrome using machine learning methods
  • Developing novel antibacterial biomaterials for wound-healing applications
  • Mechanistic modelling of bacterial biofilm treatment and wound healing through partial differential equations
  • Parameter estimation