Summary
Ryan Bartelme is a founder and principal data scientist who blends a decade of hands-on biology and agricultural research with production-grade data engineering to solve complex biotech problems. He has built and led cloud-native bioinformatics pipelines, driven RNAseq product development, and applied computer vision and ML to clinical and phenotyping systems while optimizing distributed compute and costs. Comfortable switching between coding, lab work, and hardware, he pairs statistical rigor with systems thinking to create reproducible workflows and experimental platforms. His technical toolkit spans Python/R, Nextflow, Databricks, AWS, edge computing, and deep learning frameworks like PyTorch and TensorFlow. Notably, his background in microbial ecology, aquaculture process engineering, and plant phenomics gives him rare domain fluency that informs algorithm design and experimental systems. Based in Tucson, he now focuses on digital twins, distributed systems design, and advancing computer vision applications in biotechnology.
10 years of coding experience
12 years of employment as a software developer
B.S., Microbiology, B.S., Microbiology at University of Wisconsin-Madison
Doctor of Philosophy (PhD), Freshwater Science, Doctor of Philosophy (PhD), Freshwater Science at University of Wisconsin-Milwaukee
English, German