Ahmed Abdelhadi Metwally
Ahmed Abdelhadi Metwally is a highly accomplished professional with a diverse educational background and extensive experience in bioinformatics, AI, computational biology, and biomedical engineering.
He holds a Doctor of Philosophy (PhD) in Bioinformatics/Bioengineering from the University of Illinois at Chicago with an impressive GPA of 3.85. Additionally, he has a Master of Science in Computer Science specialized in AI/ML track from the same institution, where he achieved a GPA of 3.88.
Ahmed further enhanced his skills by participating in the Stanford Ignite program focused on innovation and entrepreneurship at the Stanford University Graduate School of Business. He also holds a Master of Science in Biomedical Engineering from Cairo University with a GPA of 3.75 and has a Bachelor of Science in Biomedical Engineering from the same university, where he graduated top of his class with a GPA of 3.93.
With a strong research background, Ahmed has completed a Postdoctoral program in AI/ML and Computational Biology with a specialization in Wearable Biosensors at Stanford University. He has held various roles in prestigious organizations including Senior Bioinformatics/AI Scientist at Illumina, Postdoctoral Scholar at Stanford University, Bioinformatics Lead Intern at Thermo Fisher Scientific, and Software Engineering Intern at Thermo Fisher Scientific.
His academic journey includes positions such as Graduate Research Assistant in the Bioengineering Department at the University of Illinois at Chicago, Assistant Lecturer in the Biomedical Engineering Department at Cairo University, Junior Scientist at Nile University, as well as Teaching/Research Assistant in the Biomedical Engineering Department at Cairo University. Moreover, Ahmed has gained valuable research experience as a Research Intern at Helmholtz-Zentrum Geesthacht Zentrum für Material- und Küstenforschung.
Ahmed Abdelhadi Metwally's multidisciplinary expertise and professional experience make him a seasoned professional in the fields of bioinformatics, AI, computational biology, and biomedical engineering, contributing significantly to technological advancements and scientific research.
