Brian Ross is an algorithm developer and founder with nine years of experience translating deep academic expertise in computational biophysics into high-speed AI products and enterprise tools. He founded C Deeply to rapidly generate neural networks for tabular data—in some demos producing trained models in about one second—while also building unsupervised feature-extraction autoencoders and APIs. His academic work produced new algorithms across chromosome conformation measurement, nanopore sequencing, heterogeneous cell-population simulation, and mutual information estimators, and he even designed an experimental scripting language (Cicada) that interfaces with C/C++. Now based in Maryland, he’s applying that combination of research rigor and pragmatic engineering to graph-based RAG and knowledge-graph tooling for an international development bank. A detail that often surprises collaborators: he moves fluidly between building low-level scientific algorithms and product-grade ML pipelines, shipping prototypes that are both fast and scientifically grounded.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD) physics, Doctor of Philosophy (PhD) physics at Massachusetts Institute of Technology
Bachelor of Science - BS Aerospace Aeronautical and Astronautical Engineering, Bachelor of Science - BS Aerospace Aeronautical and Astronautical Engineering at University of Maryland
Contributions:3 releases, 2 PRs, 110 pushes in 3 years 11 months
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