Summary
Peter Mchale is an Associate Director in Computational Biology with nine years of experience building software and AI agents to interpret clinical genomics data, blending a PhD in theoretical physics with hands-on ML and bioinformatics engineering. He leads research-grade pipelines and tools—ranging from variant-calling workflows and tumor-growth Monte Carlo simulations to LLM-driven rare-disease inference and agent frameworks for genomics teams—while deploying scalable solutions on AWS, Kubernetes and workflow systems like Nextflow. A former university lecturer in mathematics, he pairs rigorous theoretical foundations with practical implementations (PyTorch, TensorFlow, GNNs, diffusion models) and a strong publication record on bias and generalizability in genomic ML. Notably, his open-source projects span end-to-end genomics tooling and experimental AI agents, reflecting a rare combination of academic depth, teaching experience, and production engineering.
9 years of coding experience
12 years of employment as a software developer
PhD, Theoretical Physics, PhD, Theoretical Physics at University of Cambridge
BA, Theoretical Physics, BA, Theoretical Physics at Trinity College Dublin