Summary
Aaron Pfennig is a postdoctoral fellow in the Akey Lab with eight years of interdisciplinary experience at the intersection of population genetics, bioinformatics, and machine learning. He completed a PhD in Quantitative Biosciences at Georgia Tech studying theoretical and empirical admixture between modern and archaic humans, and previously developed ab‑initio tools for genetic code detection during his MS in Bioinformatics. His work spans algorithm development, proteomic and metagenomic analyses, and applied deep learning for signal detection—skills honed through internships and research roles across Europe and the U.S. Aaron combines rigorous statistical genetics training (including coursework at UW) with practical software implementations in Python and TensorFlow. He has a track record of turning noisy biological data into interpretable results, from breath gas peak detection to PTM and crAssphage characterization. Based in New Jersey, he brings a research-driven, tool-building approach to problems in evolutionary genomics and computational biology.
8 years of coding experience
4 years of employment as a software developer
Statistical Genetics, Statistical Genetics at University of Washington
Bachelor's degree, Biomedical Sciences, General, Bachelor's degree, Biomedical Sciences, General at Hochschule Reutlingen
Biomedical Sciences, General, Biomedical Sciences, General at 國立交通大學
Entrepreneurship, Entrepreneurship at University of North Carolina at Greensboro
Data Science, Data Science at Ukrainian Catholic University
Doctor of Philosophy - PhD, Quantitative Biosciences, 4.0, Doctor of Philosophy - PhD, Quantitative Biosciences, 4.0 at Georgia Institute of Technology
German, English