Summary
Jordan Berg is a Senior Scientist in machine learning with nine years of interdisciplinary experience applying ML, multi-omics integration, and generative physics-constrained methods to accelerate drug discovery and gene-editing modality development. Currently building ML-driven splice editors at Amber Bio, he previously led computational biochemistry and multi-omics teams at startups and Altos Labs, driving platform engineering that scaled analysis of tens of thousands of clinical samples and accelerated natural product characterization by orders of magnitude. His academic work produced Metaboverse, an open-source multi-omics network tool, and high-throughput cheminformatics approaches published in top journals, reflecting a blend of software, statistics, and wet-lab collaboration. Jordan pairs deep mechanistic curiosity—metabolism, networks, and mechanism discovery—with practical engineering: deploying PyTorch contrastive learning, docking/MD pipelines, and production data infrastructure. Based in San Francisco, he also designs and builds custom furniture, a hands-on outlet that mirrors his iterative experimental and engineering mindset.
9 years of coding experience
10 years of employment as a software developer
The University of Utah
Bachelor of Science - BS Molecular Biology, Bachelor of Science - BS Molecular Biology at Brigham Young University
English, Spanish