Cancer epigenomics
Chromatin regulation, enhancer activity and epigenomic changes affecting cancer cell identity and progression.
Explore focusWe combine experimental epigenomics, computational genomics and machine learning to investigate the regulatory mechanisms of cancer progression and therapeutic response. By connecting multiomics data with clinically relevant models, we aim to advance biological discovery and precision oncology.
Four integrated research themes spanning experimental, computational and clinically relevant cancer biology.
Chromatin regulation, enhancer activity and epigenomic changes affecting cancer cell identity and progression.
Explore focusIntegrative analysis of cellular heterogeneity, plasticity and cancer-associated regulatory programs.
Explore focusChromatin interactions, genome organization and the functional architecture of regulatory DNA.
Explore focusPatient-derived models, molecular stratification and candidate biomarkers or therapeutic vulnerabilities.
Explore focusWe develop and apply statistical, computational and machine-learning approaches—from deep-learning-assisted 3D genome analysis to unsupervised multiomics modelling—to extract biological meaning from high-dimensional datasets.
Amin Nooranikhojasteh, Ghazaleh Tavallaee, Nicholas Khuu, Shu Yi Shen, Shaida Ouladan, Ayush Raman, Elias Orouji
Amin Nooranikhojasteh, Ghazaleh Tavallaee, Elias Orouji
Shaida Ouladan, Elias Orouji