I enjoy exploring genomics. Here are a selection of projects that I have worked on over the years.
The Cancers Meta-analysis Projects integrate comprehensive transcriptome, genome, and epigenome datasets to advance precision oncology through rigorous meta-analysis and cutting-edge AI models. Focused on high-impact cancers—including gastric, triple-negative breast cancer (TNBC), colorectal, lung, glioblastoma, and pancreatic cancers.
Projects bridges AI-driven target prioritization with precision experimental pipelines to uncover novel therapeutics. Leveraging structural bioinformatics and high-throughput virtual screening, the platform computationally evaluates millions of compounds against metagenes—AI-identified genes critical to disease mechanisms (e.g., cancer progression, antimicrobial resistance).
Delivering modular, software solutions to streamline data analysis, diagnostics, and industrial workflows across research and commercial sectors. By developing customizable pipelines in Python (automation, machine learning integration), Bash (high-performance computing orchestration), R (statistical modeling, visualization), and JavaScript (interactive web interfaces), the projects empowers users to process complex datasets with reproducibility and scalability.
Project harnesses global genome and transcriptome sequencing of olive genotypes to decode biodiversity, evolutionary adaptation, and human-driven migration patterns. By assembling high-resolution datasets from wild and cultivated varieties across continents, the project maps genetic diversity hotspots, identifies loci underpinning traits like drought tolerance and fruit yield, and reconstructs ancient dispersal routes shaped by trade and agriculture.
leveraging high-resolution genome sequencing and annotation to decode the functional and evolutionary landscapes of bacteria, fungi, and viruses. By systematically assembling and annotating small genomes across diverse taxa and ecological niches, the project uncovers conserved metabolic pathways, virulence factors, and niche-specific adaptations.