Amr Usama Abourayya

Amr Usama Abourayya has a diverse work experience in the field of data science and research. Amr Usama is currently working as a Data Science Collaborator and Research Fellow at Carenostics, where they apply machine learning to routine patient care data to build clinical decision support models. In this role, they focus on identifying opportunities for earlier clinical intervention and detecting chronic conditions in previously undiagnosed patients.

Prior to their current role, Amr worked as a Researcher at Ruhr University Bochum, where they conducted research in an undisclosed area. Amr Usama also served as a PHD Candidate at the IKIM - Institute for Artificial Intelligence in Medicine, where their research focused on an undisclosed topic.

Before pursuing a career in research, Amr worked as a Research Assistant at the American University in Cairo. During their time there, they provided research support and collaborated on various projects. Amr Usama also worked as a Mathematician at Slader, where they used their mathematical skills to assist with problem-solving.

Amr gained industry experience through a Summer Internship at DMG | Mountain View, where they gained practical knowledge and skills in an undisclosed field.

Overall, Amr Usama Abourayya's work experience showcases their expertise in data science, research, and mathematical problem-solving.

Amr Usama Abourayya has a diverse background in education. Amr Usama began their academic journey in 2010, completing their High School education at Mansoura University. From 2013 to 2018, they pursued a Bachelor's Degree in Civil Engineering, also at Mansoura University.

In 2019, Amr enrolled in the MathMods & InterMath Joint Erasmus Master program, where they earned double Master's degrees in Mathematical Modelling in Engineering: Theory, Numerics, Applications. Amr Usama studied at both the Università degli Studi dell'Aquila and the Technische Universität Wien during this period.

Continuing their educational pursuit, Amr joined the Technische Universität Wien in 2020 to pursue a Master's degree in Technical Mathematics, which they completed in 2021. Following this, they enrolled at the University of Duisburg-Essen in 2022 for a Doctor of Philosophy (PhD) in Computer Science, which they are anticipated to complete in 2026.

In addition to their academic degrees, Amr has earned several certifications throughout their educational journey. Notably, they obtained certifications in topics such as Advanced Learning Algorithms from Stanford University, Data Analysis with Python from IBM and Coursera, and Supervised Machine Learning: Regression and Classification from Stanford University. Amr has also completed various other training programs and courses, covering subjects like project management, programming, and mathematical thinking.