Christian Ray

Computational biology, multiomics, diagnostics, models, and statistics.

Director of Data Science and Computational Biology at EVolv Diagnostics. My work includes multiomics in liquid biopsy, biomarker discovery, gene regulation, biostatistics, and AI/ML-driven mathematical biology.

Current appointment

Director of Data Science and Computational Biology

EVolv Diagnostics
Research areas

Computational Biology · Genomics · Machine Learning · AI · Mathematical Biology

PublicationsORCIDGoogle Scholar
Radial chart comparing gene-expression profiles across Healthy, Non-AA, AA, and CRC groups
EV gene expression profile distinguishing patients with colorectal advanced adenomas and cancer from nominally healthy patients and patients with non-advanced adenomas. https://doi.org/10.1101/2025.08.14.670394

Current focus

Computation for precision diagnostics

Liquid biopsy

Extracting richer biological signals from extracellular-vesicle RNA and cell-free DNA.

Multiomic biology

Connecting high-dimensional molecular measurements to interpretable disease signatures.

AI & machine learning

Building robust models for biomarker discovery and clinically meaningful stratification.

Latest research

Recent work

View all 27 records
01

2025 · preprint

Deep Profiling of EV Long RNAs Reveals Biofluid-Specific Transcriptomes and Splicing Landscapes

02

2025 · preprint

Salivary Extracellular Vesicle RNA Profiling Reveals Biomarkers for Sjögren’s

03

2025 · preprint

Extracellular Vesicle Gene Expression Enables Sensitive Detection of Colorectal Neoplasia

Continuity

Ray Lab archive

The former Ray Lab studied how cells maintain identity, process information, and transition between phenotypic states. That body of work remains part of this site’s publication record.