Nisar, Maria (MSc)

In biological research, accurate data labelling plays a crucial role. My research focuses on label prediction challenges in synthetic datasets using machine learning models, specifically Graphical Neural Networks (GNNs).

The aim of my project is to implement a GNN model capable of predicting labels for synthetic data that shares similar features as that of mouse embryo data.

• January 2025-present: Master Thesis
  Center for Computational and Theoretical Biology, Würzburg, Germany
  Thesis: "Machine Learning Based Label Prediction"
   
• 2018-present: MSc Fokus Life Sciences
  Julius Maximillians Universität, Würzburg, Germany
   
• 2013-2018: Pharm.D
  Quaid-i-Azam University, Islamabad, Pakistan
  Thesis: "Rheumatoid Arthritis, Risk Factors and Treatment Outcomes"