Summary
Stephen Wyka is a Senior Scientist in Genomics with nine years of experience applying computational biology to natural product drug discovery, microbial genomics, and multi-omics integration. He builds and optimizes cloud-native (AWS/GCP) pipelines and scalable pangenome/orthology platforms that have processed 100,000+ genomes and cut infrastructure costs by over 85%, directly enabling discovery of therapeutic candidates now in clinical development. His work blends algorithm development, ML (including transformer-based fine-tuning and XGBoost classifiers), and mass-spec/genotype linking—he even developed a molecule-clustering approach that shortened analytical interpretation timelines by 30%. A hands-on mentor and cross-functional collaborator, he partners with microbiology, synthetic biology, and analytical chemistry teams to move genomic insights into fermentation and molecule retrieval workflows. Trained as a plant pathologist (PhD) with extensive fungal genomics and MS experience, he uniquely pairs deep domain biology with production-grade software engineering and a public GitHub portfolio.
8 years of coding experience
3 years of employment as a software developer
Don Bosco Preparatory High School
Doctor of Philosophy - PhD Plant Pathology, Doctor of Philosophy - PhD Plant Pathology at Colorado State University
Master of Science (MSc) Plant Biology, Master of Science (MSc) Plant Biology at University of New Hampshire