Fadhl Alakwaa

Computational Biologist Research Investigator

Ann Arbor, Michigan, United States
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Summary

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Senior
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Top School
Fadhl Alakwaa is a computational biologist and research investigator with over a decade of experience building and applying advanced bioinformatics and machine learning approaches to multi-omics problems. He leads translational projects at the University of Michigan that integrate metabolomics, proteomics and single-cell and bulk transcriptomics to discover non-invasive biomarkers and pathway activities for kidney disease, Alzheimer’s and other complex conditions. His work blends classical statistical methods with deep learning—demonstrated by early, high-performing applications of neural networks to metabolomics—and he has developed CRAN/GitHub tools for pathway-based personalized classification. Comfortable in R, Python, C++ and MATLAB, he supervises multidisciplinary teams and collaborates with pharma partners to move computational insights toward clinical utility. Unusually, his background includes founding a biomedical engineering department and hands-on device- and curriculum-building in Yemen, reflecting a strong mix of technical, educational and leadership experience.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at Cairo University
languagesEnglish, Arabic
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Github Skills (85)

seurat10
transcriptomics10
genomics10
caret10
single-cell-analysis10
single-cell-genomics10
bioinformatics10
cran10
gene-expression9
scales9
r-package9
scanpy9
differential-expression8
stacked8
phyloseq8

Programming languages (6)

RShellJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:17 commits, 16 pushes, 1 branch in 9 months
Contributions:21 pushes, 1 branch in 3 years 3 months
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