Summary
Camilo Valdes is a Staff Scientist and machine learning researcher with 11 years of experience building scalable AI solutions for genomics, predictive biology, high-performance simulations, and computer vision. He designs models and analytical pipelines that extract meaningful features from very high-dimensional and streaming biological datasets, from petascale metagenome simulations to volumetric segmentation of 3D X‑ray CT scans. At Lawrence Livermore and prior academic roles he developed unsupervised hierarchical representations for antibody and microbial data, real‑time anomaly detection, and fusion models that combine sequence, structure, and vision-based features. He also builds production scientific apps (including Apple App Store releases) and open-source tooling such as the Flint and Jasper projects for metagenomic profiling and analysis. Camilo’s work is distinguished by a strong publication record in top journals and a knack for turning complex, high-throughput biological problems into deployable, high-performance ML systems.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning High Performance Computing Visualization, Doctor of Philosophy - PhD Machine Learning High Performance Computing Visualization at Florida International University - College of Engineering & Computing
Bachelor of Science - BS Biology/Biological Sciences General, Bachelor of Science - BS Biology/Biological Sciences General at Florida International University
English, Spanish