About me

Hello there! I am a Visiting Pre-doctoral Fellow at Northwestern University's Department of Pathology and a Ph.D. candidate at Emory University's Department of Computer Science (Biomedical Informatics track). I hold an M.B.B.Ch (a.k.a M.D. in the U.S.) from Cairo University in Egypt and an M.Sc. in Computer Science from Emory University in Atlanta, GA. I work in the interdisciplinary field of Computational Pathology, and intend to pursue a physician-scientist career, addressing fundamental clinical needs using machine learning. I work under supervision of Dr. Lee A.D. Cooper and Dr. David M. Gutman.

I am told that I'm good at singing, but don't worry, I'm not annoying at karaoke parties! :) I've moved a lot since childhood. I spent my elementary school in Saudi Arabia, my high school at Cambridge High School in Abu Dhabi, UAE, my medical school in Cairo, Egypt, with a gap research year at OIST in Okinawa, Japan, and my graduate school in Atlanta and Chicago, USA. On my free time, I love to read (mostly non-fiction) in the fields of philosophy, economics, and technology. I am fluent in English and Arabic.

Key skills

I am a physician by training, and have some exposure to anatomical pathology, particularly breast cancer, through my Ph.D. work. I look forward to formalizing and significantly expanding my knowledge in pathology through residency after graduation.

In data science, I mainly work with the following tools/languages:

  • Programming (*, proficient): Python*, MATLAB*, SQL*, Bash, R, JAVA.

  • Noteworthy python libraries: tensorflow, keras, pytorch, openslide.

  • Miscellaneous: Linux, git, docker, RESTful API, Latex.


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What do I do?

My dissertation work utilizes crowdsourcing (engaging non-experts to produce data) and machine vision to discover prognostic histologic and genomic elements in breast cancer. A binding theme is the curation of datasets and tools to enable the development of "explainable" models that are amenable to understanding by pathologists and oncologists. I also have a long-standing interest in medical education, mentorship, medical entrepreneurship, and open science.

For more details, feel free to explore the rest of this site or to take a look at my C.V. here. (last updated: July, 2021).

Gif of region and cell segmentation overlays
Sample tissue type predictions from our deep learning models (breast cancer, TCGA)

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