Manar Alawajy

Manar has a background in molecular biology, with hands-on experience in cancer research and an interest in how biological systems work from the molecular level all the way to human health. She has a basic understanding of pathophysiology and a good grounding in biostatistics. Data analysis has been a constant throughout her research journey, working with tools like R, GraphPad Prism, and Google Colab, with exploration into VR-based simulation and deep learning frameworks such as TensorFlow, PyTorch, and OpenCV. Her work focuses on the intersection of research and clinical impact.