Samar Elsheikh
Postdoctoral Research Fellow at CAMH
Cape Town, Western Cape, Canada
Summary
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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
1 year 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 (32)
ecology9
tsne8
tidy8
tidyverse8
population-structure7
plink7
dplyr7
stable7
data-import6
gwas6
apt6
spreadsheet6
data-management6
manipulation6
genetics6
Programming languages (2)
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
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