Mohamed Amgad
Pathology Resident Physician
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMohamed Amgad is a pathology resident at Northwestern University who bridges clinical practice with computational pathology, holding an MD from Cairo University and a PhD in Computer Science/Biomedical Informatics from Emory. With nine years of experience spanning wet-lab research, deep-learning development at Ventana, and academic roles from visiting fellow to postdoc, he applies AI to diagnostic pathology and personalized medicine. His work synthesizes molecular biology background (OIST) with high-performance biomedical informatics, enabling translational projects that move models toward clinical utility. Based in Chicago, he combines rigorous academic training (PhD GPA 3.95) with hands-on pathology residency, uniquely positioning him to translate algorithmic advances into real-world diagnostic workflows.
9 years of coding experience
12 years of employment as a software developer
High School, Cambridge University IGCSE (International General Certificate of Secondary Education) and A-levels, High School, Cambridge University IGCSE (International General Certificate of Secondary Education) and A-levels at The Cambridge High School, Abu DhabiDoctor of Philosophy (Ph.D.), Computer Science (Biomedical Informatics), 3.95 / 4.0, Doctor of Philosophy (Ph.D.), Computer Science (Biomedical Informatics), 3.95 / 4.0 at Emory UniversityBachelor of Medicine, Bachelor of Surgery (MBBS), Medicine, Excellent with Honors, Bachelor of Medicine, Bachelor of Surgery (MBBS), Medicine, Excellent with Honors at Cairo University
English, Arabic
Github Skills (44)
image-analysis10
algorithms10
biology10
python10
medical-image-processing10
machine-learning10
wsi10
ml10
keras10
deep-learning10
tensorflow10
segmentation10
deep-neural-networks10
neural-network10
digital-pathology10
Programming languages (4)
Github contributions (5)
kheffah/tensorflow_FCN8Workflow
Aug 2017 - Mar 2022
Contributions:5 commits, 3 pushes, 1 branch in 4 years 8 months
PathologyDataScience/NuCLS
Feb 2021 - Apr 2022
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
Contributions:44 commits, 10 PRs, 39 pushes in 1 year 1 month
classificationdeep-learninglocalizationsegmentation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.