At the beginning of my professional career, I used to work as a Data Scientist, and one of my early projects was the analysis of raw human genome data from patients with Alzheimer’s Disease. Many things were painful back then; we had to recruit participants 1-by-1 to enroll in our study, sequencing the genomes to get the data cost us >1m from a research grant, we had to set up a costly compute cluster ourselves, and even simple regression analyses took days to finish (per iteration). I especially remember working for weeks on engineering our data structures, optimizing database settings, and manually re-writing the analysis algorithms (because we exceeded our RAM limits), first just for the analysis to compute at all, and then to finish in days instead of months. A lot has changed since then.
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