Summary
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.
8 years of coding experience
7 years of employment as a software developer
Master’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at Cairo University
English, Arabic