Computational Biologist & Visiting Researcher · University of Oxford
I am a Visiting Researcher at the University of Oxford, Department of Computer Science, hosted by Prof. Peter Minary (Wolfson Building, Parks Road). Concurrently, I hold a position as Post-doctoral Research Scientist at UNICAMP (University of Campinas), Instituto de Química, Brazil, under Prof. Ljubica Tasic, and serve as a Research Fellow at EMBRAPA Digital Agriculture under Prof. Goran Neshich.
My research sits at the convergence of computational biology, machine learning, and structural bioinformatics. I develop deep learning and graph neural network frameworks to tackle fundamental problems in genomic medicine — chief among them the accurate prediction of CRISPR-Cas9 off-target cleavage, a critical bottleneck in the safe clinical application of gene editing.
My work spans allosteric site prediction (STINGAllo), metabolomics, drug discovery, and global burden of disease studies — all unified by a single philosophy: rigorous methodology, domain depth, and results that are reproducible and clinically meaningful.
Making computational tools that translate directly into biological insight and clinical impact.
Deep learning and GNN models predicting unintended cleavage sites — enabling safer gene editing therapeutics.
STING descriptors, STINGAllo web server, and MRND — characterising protein allosteric sites and structure-function relationships at atomic resolution.
GNN architectures for molecular graphs — representation learning over atoms, bonds, and residue interaction networks for property prediction.
ML-driven virtual screening, molecular docking, and ADMET prediction — from SARS-CoV-2 protease inhibitors to antifungal and antiretroviral compounds.
NMR-based metabolomic profiling with ML for biomarker discovery — including mercury-selenium interactions, obesity lipid markers, and diabetes metabolic signatures.
Systematic analyses of disease burden across 204 countries — cardiovascular disease, cancer, childhood vaccination, and cause-of-death data in collaboration with international consortia.
38 peer-reviewed publications · 942 citations · h-index 13 · i10-index 13. Full list: Google Scholar · ORCID
29 additional publications including Global Burden of Disease studies (The Lancet), chalcogenium chemistry, NMR metabolomics, and antifungal/antiretroviral drug design. View all 38 on Google Scholar →
Open to research collaborations, academic enquiries, and scientific discussions.
Wolfson Building, Parks Road
Oxford OX1 3QD, UK