MissFarwa Abbas

Farwa is a postdoctoral researcher working at the intersection of cognitive and computational neuroscience and healthcare technologies. Her research interests span biomedical and statistical signal processing, convex optimization, machine learning, and deep learning, with a particular focus on interpretable AI for clinical translation. Through this work, she aims to develop healthcare solutions that are trustworthy, usable, and impactful in real-world settings. She completed her doctoral studies in the Department of Electrical and Electronic Engineering at Imperial College London, where she worked under the supervision of Dr. Wei Dai in the Communications and Signal Processing Research Group. Her doctoral research focused on advanced signal processing models and learning-based methods for biomedical applications.

Beyond research, Farwa is deeply passionate about science communication, education, and advocating for underrepresented voices in science. She is strongly committed to closing the gender gap in STEM and believes that early exposure to science, particularly for young girls, can be transformative. Through teaching, outreach, and public engagement, she aims to make science more inclusive, engaging, and empowering, while contributing meaningful, data-driven innovations and helping shape a more equitable and diverse scientific community.