Lauren Mak is a computational biologist and PhD candidate at Weill Cornell with eight years of experience building metagenomic tools and benchmark datasets that advance strain-resolved microbiome analysis. She led the Microbiome-in-a-Bottle initiative and developed CAMP, a Snakemake ecosystem now used by the MetaSUB Consortium, demonstrating both large-scale pipeline engineering and tight experimental-computational integration. Her tools include Ariadne, which dramatically improved synthetic long-read purity, and PoolHapX from her MSc work, reflecting deep expertise in haplotype reconstruction and assembly-graph methods. A former mathlete and lifelong music enthusiast, she blends rigorous quantitative training with creativity and mentorship, having guided junior researchers who became coauthors. Based in New York, she combines top-tier academic training (Weill Cornell, Univ. of Calgary, UBC) with practical impact across international collaborative projects.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Biochemistry and Molecular Biology, Bachelor of Science, Biochemistry and Molecular Biology at The University of British Columbia
Master of Science (MSc), Biochemistry and Molecular Biology, Bioinformatics, 4.0, Master of Science (MSc), Biochemistry and Molecular Biology, Bioinformatics, 4.0 at University of Calgary
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, 4.0, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, 4.0 at Weill Cornell Graduate School of Medical Sciences
Contributions:18 commits, 22 pushes, 15 comments in 5 months
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Lauren Mak - Computational Biology And Medicine PhD Student