Silas Tittes is a population geneticist and computational biologist with 11 years of experience studying evolutionary processes and the genetic basis of adaptation. Currently a research scientist in the Kern-Ralph group at the University of Oregon, he combines rigorous population-genetic theory with practical data visualization to make complex patterns accessible. His postdoctoral work at UC Davis dissected convergent adaptation in maize and its wild relatives, bridging field genetics and computational inference. Trained with a PhD in Ecology and Evolutionary Biology from the University of Colorado Boulder, Silas brings a strong quantitative background and a knack for translating large genomic datasets into clear biological insights. Based in Boulder, Colorado, he pairs academic research with an evident enthusiasm for crafting compelling visual narratives from noisy data.
11 years of coding experience
8 years of employment as a software developer
Chinook West
Ecology and Evolutionary Biology, Ecology and Evolutionary Biology at University of Colorado at Boulder
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at University of Colorado Boulder
Simple tool for capturing alignment regions with sufficient quality for genotyping.
Contributions:12 commits, 1 PR, 30 pushes in 1 year 5 months
capturingregionsgenotypingalignmentbioinformatics
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