Samar Elsheikh
Scientific Associate
Cape Town, Western Cape, United States
Summary
👤
Senior🎓
Top SchoolSamar Elsheikh is a postdoctoral research fellow with nine years of experience at the intersection of statistics, bioinformatics, and genomics, currently developing machine learning models to predict antidepressant response in late-life depression at CAMH. With a PhD in Bioinformatics from the University of Cape Town and advanced degrees in mathematical sciences and statistics, she translates complex genomic and clinical data into actionable insights for psychiatric and neurodegenerative disorders. Comfortable in interdisciplinary teams, she pairs rigorous statistical methodology with practical ML implementation to drive translational research. Equally invested in mentorship and teaching—evident from roles at AIMS and UCT—she brings both academic depth and a collaborative mindset to projects aimed at improving patient outcomes.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of Cape TownMaster's degree Statistics, Master's degree Statistics at University of KhartoumMaster's degree Mathematical Sciences, Master's degree Mathematical Sciences at University of Ghana
Github Skills (31)
ecology9
tidy9
stable8
tsne8
data-import8
spreadsheet8
data-management8
tidyverse8
population-structure8
gwas7
dplyr7
dataframes6
plink6
genetics6
bioinformatics5
Programming languages (3)
Github contributions (5)
elssam/RGLCG
Jul 2019 - Dec 2021
Contributions:11 commits, 10 pushes, 1 branch in 2 years 5 months
elssam/GWAS-BCCAD
Jun 2019 - Jan 2020
Contributions:9 commits, 8 pushes in 6 months
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.