Deep Learning

Invited Talk at the 3rd Symposium on International Pathways to Precision Medicine Symposium (P2M Symposium), Rouen, France

I had the honor of delivering an invited talk at the p2m Symposium, where I had the opportunity to share my work and connect with distinguished experts in the field. The event was an enriching platform that allowed me to engage directly with thought leaders, including Ellen GRANT from Harvard, Fouad CHEBIB from Mayo Clinic, and Ivana Dabaj from Rouen. I am particularly grateful to the event chairs, Soumaya and Abdellah from Rouen, whose exceptional leadership and support made this gathering truly memorable.

CIR/01/2025: Postdoc/Research Staff position in Computational Medical Imaging (m/f/d)

starting Jun. 2025 or as agreed upon. The position is initially limited to two years.

CIR/02/2025: Ph.D. position in AI in Medicine with Large Language Models (m/f/d)

starting Jun 2025 or as agreed upon. The position is initially limited to three years, with the possibility of extension.

Participated at the Helmholtz-ELLIS Workshop on Foundation Models in Science

Elodie, David, and Shadi participated at the Helmholtz ELLIS Workshop on Foundation Models which took place in Berlin over two days, bringing together leading researchers and practitioners from academia and industry. The primary focus was to explore the transformative impact of large-scale AI models ( extit{Foundation Models}) across various scientific domains, including medical imaging, astrophysics, tabular data analysis, and beyond.

Invited Talk at the German University in Cairo and the American University in Cairo, Egypt

Just wrapped up two intense and inspiring days in Cairo at the The German University in Cairo and The American University in Cairo (AUC)! 🇪🇬. From invited talks and an engaging workshop to thesis defenses and valuable networking events, it was a fantastic opportunity to exchange ideas and connect with brilliant minds. A big thank you to the hosts, Dr. Mohammed A.-Megeed Salem and Dr. Seif Eldawlatly and everyone who made this visit so enriching! Looking forward to future hashtag#collaborations.

BA/MA thesis on Modeling brain changes related to physical activity with machine learning

Abstract. In the last decade, several studies suggested that physical fitness may positively influence brain and cardiovascular health. Brain health is usually assessed through structural and functional imaging techniques to extract biomarkers of aging that can be used to predict brain age ( Dunås et al.

Cost-Effective Affordable AI for Breast Lesion Detection with Ultra-sensitive Optical Sensing

DAAD with funds from BMBF (2025-2026)

Met our partners at Peter MacCallum, Melbourne, Australia

During my recent trip to Melbourne, Australia, supported by the [Bonn Melbourne Research Excellence Fund](https://www.uni-bonn.de/en/research-and-teaching/support-for-researchers-and-teachers/research-funding/university-grants/university-of-melbourne-ref) from the University of Bonn, I had the pleasure of meeting with the lab members of [Prof. Dr. Louise Cheng](https://www.petermac.org/research/research-programs-and-labs/organogenesis-cancer-program/louise-cheng-labdiscussion) and [Dr. Hyun Ko](https://www.petermac.org/expert-finder/details/hyun-ko) at the [Peter MacCallum Cancer Centre](https://www.petermac.org/). The visit provided fascinating insights into their research themes, ranging from studying zebrafish to Drosophila. I was particularly intrigued by the parallels between these model organisms and the human body, as well as the short life cycle of Drosophila, which facilitates the study of diverse behavioral questions such as jet lag and emotional connections.

Participated as part of a delegation to the University of St. Andrews in Scotland, UK

As part of a delegation from the Faculty of Medicine of the University of Bonn, I had the privilege to visit the University of St. Andrews in Scotland, aimed at strengthening our partnership and shaping the future of our collaboration. The visit culminated in the signing of a joint vision statement between our medical faculties, reaffirming our shared commitment to advancing medical education and research.

Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders

Bonn International Fellowships (2024 - 2025)