Ahmed Selim is a computational population geneticist and PhD candidate in Biophysics at the University of Chicago with 12 years of research experience applying interdisciplinary methods to decode evolutionary and ecological processes. He develops statistical and computational methods to extract time-varying population histories from ancestral recombination graphs (ARGs) and has also modeled microbial metabolic phenotypes from genomes using combined experimental and statistical approaches. As a graduate research and teaching assistant, he translates complex theory into digestible coursework and mentorship while contributing to method development in John Novembre’s lab. Based in Chicago, he blends a strong computational biology foundation (BS, 3.99) with practical lab experience and a passion for inclusive, accessible higher education. Notably, his work bridges large-scale genomic datasets and interpretable models, enabling more precise inference of past population dynamics from emergent ARG data.
12 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer and system, Bachelor’s Degree, Computer and system at Alexandria University
The second generation of SpatialHadoop that ships as an extension
Contributions:15 commits, 1 comment in 1 month
hadoopshipsspark-mlsecond
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