Rick Farouni is a Bioinformatics Scientist and applied statistician based in Basel with 11 years of experience applying Bayesian methods, generalized linear mixed models, and machine/deep learning to genomics, AAV evolution, and CRISPR editing data. He holds a PhD in Quantitative Psychology (applied statistics) from The Ohio State University and has driven computational biology research at ETH Zürich, McGill Genome Quebec, and Massachusetts General Hospital. Rick combines rigorous statistical modeling with practical bioinformatics pipelines to turn complex high-throughput experiments into actionable insights for experimentalists. His background in psychometrics and teaching informs a clear, reproducible approach to analysis and collaboration across wet-lab and computational teams. He often brings less-obvious strengths—like experimental design and uncertainty quantification—to improve decision-making in iterative protein and genome engineering projects.
11 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Psychology, Bachelor's Degree, Psychology at Penn State University
Doctor of Philosophy (Ph.D.), Quantitative Psychology (i.e. Applied Statistics), Doctor of Philosophy (Ph.D.), Quantitative Psychology (i.e. Applied Statistics) at The Ohio State University
Contributions:52 pushes, 2 branches, 12 comments in 3 years 11 months
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