Multi-scale bioinformatics pipeline for patient-specific drug screening via computational simulation of patient-derived organoids. Integrates U-Net segmentation, agent-based cell simulation, QSAR drug modelling and PDE diffusion.

LINPS: A database for cancer cell-specific perturbations of biological networks

Enabling organoid analyses using drug sreening, RNA-seq, exome-seq

Flexible processing and analysis of plug microfluidics data

ML-driven platform for Glioblastoma drug recommendation using GDSC data. Features multi-model prediction (RF, XGBoost, NN, SVM, KNN), molecular similarity analysis (Tanimoto, MCS, GCN), pathway enrichment, drug interaction checking, and combination therapy optimization with interactive dashboard.

The Co-culture Efficacy Score (CES) is a quantitative framework for measuring drug activity in complex multicellular systems. It integrates cumulative activity and maximal efficacy into a single interpretable score, separating general toxicity from true effector-mediated cytotoxicity.

Capstone Project for my Data Scientist Certification based on data from my PhD thesis: "High-content screening for cardiovascular modulators in zebrafish (Danio rerio)"

Transfer learning computer vision for domain-specific drug-kinase assignment