Summary
John Goertz is a Principal Scientist and founder with 11 years of experience at the intersection of machine learning, bioinformatics, and experimental bioengineering, currently leading CRISPR integration and data-science efforts in industry. He co-founded and served as Chief Scientific Officer of Signatur Biosciences (YC S22), where he invented a hypermultiplexed qPCR molecular design strategy and drove a machine-learning-led workflow that enabled nearly 1,000 experiments by a single technician and raised over $5M. His toolkit spans graph neural networks, Bayesian optimization, PyTorch/PyG, PyMC/Botorch, and a 30,000-line Python codebase tied to a 50M-row PostgreSQL experimental database—skills he used to optimize 42-component molecular kits and tune primer sets at scale. He pairs hands-on wet-lab execution with production-grade MLOps and automation design, having moved a breast cancer prognostic kit from research toward development. Known for stretching limited resources into high-throughput, high-quality experimental data, he thrives building small, distributed teams that translate probabilistic ML into deployable diagnostics.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Seattle University
Doctor of Philosophy (PhD) Bioengineering, Doctor of Philosophy (PhD) Bioengineering at University of Maryland
English, German