Milo Rhodes Scola

Performed large-scale multiome analyses on single cell data using Seurat on HPC, enabling cell-type-specific transcriptional profiling. Developed end-to-end HPC pipelines for mCA detection and validated statistical outputs for publication-ready results.

Co-founded a personalized medicine startup selected by UC Berkeley's Skydeck Incubator. Led development of NGS pipeline, Bayesian classifier, and ML for product recommendation, achieving 50% reduction in RAM usage.

Developed time series deepAR models for inventory planning and data prediction. Added window-wise normalization, improved training loop, and worked on transformer integration.

Led a team of 12 designing a novel in vivo DNA assembly strategy for automation by liquid handling robots. Taught new lab members benchwork including PCR, library preparation, and cell culture.

Designed an application in JMP to scrape lab sheets, track results, and display statistics, saving approximately 12 man-hours per week. Implemented response surface methodology for optimal reaction conditions.

Grade: 3.90

Master of Engineering in Computational Biology from the University of California, Berkeley, with a GPA of 3.90.

Grade: 3.75

Bachelor of Science in Bioengineering with a minor in Computer Science from the University of California, Berkeley, with a GPA of 3.75.