// Research
Five disciplines, one pipeline
No discipline works in isolation. Each feeds into the next, from raw biological data to AI-driven predictions to clinically relevant, publication-ready results.
// More From The Lab
Publications & pipeline
// Publications
Peer-reviewed papers on RNA editing (the ADAR protein family), antimalarial and antileishmanial drug discovery, and viral protein structure — most years since 2020.
Full bibliography// Ongoing Research
- RNA-editing mechanisms across the ADAR1, ADAR2, and ADAR3 protein family
- Machine-learning models for infectious-disease sequence prediction
- Next-generation MRI contrast agents (ParaCEST)
// The Disciplines
Five areas, in detail
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.