// A COMPUTATIONAL BIOMEDICAL RESEARCH LAB
We turn data
into insight.
We run AI, molecular simulation, and bioinformatics on serious computing power — so researchers in medicine, biology, and chemistry get real answers, faster.
// Research
Fields of inquiry
AI
Artificial Intelligence
Machine learning models that predict disease mechanisms and surface therapeutic targets from complex biomedical data.
SIM
Molecular Simulation
Molecular dynamics and docking simulations that model protein behavior and drug-target interactions at atomic resolution.
BPX
Computational Biophysics
Structural and biophysical modeling that connects molecular-scale mechanisms to disease-relevant biological outcomes.
DRG
Drug Discovery
AI- and simulation-driven pipelines that accelerate the identification and evaluation of candidate therapeutics.
BIO
Bioinformatics
Reproducible computational pipelines that turn sequencing and structural data into clinically relevant insight.
// Mission
“Close the gap between biological data and clinically relevant insights.”
We combine AI, molecular simulation, and bioinformatics with high-performance computing. The result: sharper predictions about disease mechanisms and therapeutic targets, built on data other labs can reproduce.
// Principal Investigator
Whelton A. Miller III, PhD
Principal Investigator, working alongside 8 grad and undergrad researchers on RNA editing, cancer biology, and infectious disease.
Meet the full team