Summary
John Urban is a postdoctoral research associate with 11 years of experience designing and executing genomics experiments and building end-to-end bioinformatics pipelines for Illumina, PacBio, Oxford Nanopore, and BioNano data. He combines hands-on bench skills—ultra-long read prep, DNA/RNA work, and cell culture—with strong computational expertise in Python, R, Bash, HMMs, and modern ML/deep learning libraries to extract biological insight at scale. His work spans genome assembly, DNA modification analysis, replication-origin mapping, and routine HPC/SLURM and AWS-driven workflows, reflecting a rare full-stack genomics skillset. He is a fast learner who debugs across languages (including C++) and publishes open-source tools such as fast5tools and poreminion that support long-read community workflows. Based in Baltimore, he brings academic rigor from Brown and Carnegie Institution labs to practical, reproducible computational biology.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Biology, Bachelor of Science, Biology at William Paterson University of New Jersey
Ph.D. Candidate in Dept of Molecular Biology, Cellular Biology and Biochemistry, Functional and Computational Genomics Track, Ph.D. Candidate in Dept of Molecular Biology, Cellular Biology and Biochemistry, Functional and Computational Genomics Track at Brown University
Certificates of Completion, Data analysis, computer science, bioinformatics, machine learning, Certificates of Completion, Data analysis, computer science, bioinformatics, machine learning at Massive Open Online Courses (MOOCs)