Summary
Mohammad Ahamed is a statistician and bioinformatician with 10 years of experience applying advanced statistical modeling, machine learning, and omics integration to translational and preclinical research. As a PhD scholar at Karolinska Institutet and SciLifeLab he leads multidisciplinary projects that link patient-reported symptoms to molecular profiles to uncover early markers and drivers of lung cancer. His work spans single-cell and circulating tumor DNA analyses, proteomics, experimental design and data visualization, with a track record of turning complex biological data into actionable insights for clinical decision-making. Comfortable both developing novel methods and delivering reproducible pipelines, he bridges computational rigor with biological interpretation. Based in Solna, Sweden, he combines deep academic training across statistics and bioinformatics with hands-on research experience that frequently reveals subtle molecular-clinical associations not obvious from bulk analyses alone.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Medicine, Doctor of Philosophy - PhD, Medicine at Karolinska Institutet
Master’s Degree, Applied Statistics, Master’s Degree, Applied Statistics at University of Dhaka
Master’s Degree, Bioinformatics and Systems Biology, Master’s Degree, Bioinformatics and Systems Biology at Chalmers University of Technology
Bengali, English, Swedish