Biomedical Data Analytics News
TIA Centre Spotlight: Arwa Alrubaian
My Career Journey
From my first year as an undergraduate student, I knew I wanted to have a career in academia. I was inspired by my father, who completed his PhD during my childhood. This early exposure to scientific inquiry shaped my desire to follow a similar path. As I continued my studies, my passion for research grew. It began when I completed my undergraduate training at a research institution, where I experienced the excitement of contributing to knowledge.
While I built a strong foundation in computational methods during my computer science education, I was especially motivated by technology's ability to support human well-being. Early on, I focused on creating applications for children with special needs, particularly those with autism and ADHD. Witnessing the impact of these tools during field testing was incredibly rewarding. It reinforced my desire to pursue research that benefits society, especially in medical applications.
My research path later shifted to biomedical signal processing, where I worked extensively with EEG signals for clinical applications and diagnostic support. This experience deepened my interest in health-related computing, but I soon realized I wanted to shift to imaging modalities. As I explored medical imaging, I found digital and computational pathology particularly appealing. It is an emerging field with significant potential for innovation, especially in areas where the infrastructure is still developing. The idea of contributing to a rapidly evolving field that can greatly improve diagnostic processes and patient outcomes motivated me to pursue computational pathology. After my PhD, I aim to help advance computational pathology in Saudi Arabia.
My Current Work
My current research focuses on developing computational tools for lung adenocarcinoma (LUAD), with a focus on machine-learning-based diagnostic and prognostic modeling. This includes creating clinically relevant computational biomarkers and predictive frameworks that support more accurate assessment of tumor behavior and patient outcomes. I have published in top technical and clinical journals, including Computers in Biology and Medicine and The Journal of Pathology. I participated in conferences such as ISBI and MIUA. As part of the TIA Centre, I regularly attend its seminar series. This has broadened my perspective on emerging challenges and innovations in computational pathology and strengthened my connection to the global research community.
My Hobbies and Interests
In my spare time, I enjoy reading, experimenting with new recipes, and capturing beauty and memories via photography.
My Favourite Quote
