My research is primarily in bioinformatic analysis of complex biological networks with novel algorithms, developing personalized/precision medicine paradigm for cancer treatment and systems biology analysis of inflammatory pathways in Alzheimer's Disease.
Research Information
Research Interests
The Bebek lab uses systems biology approaches to discover clinically-relevant cellular and molecular networks underlying cancer risk, initiation, progression and treatment response. We focus on both developing and using bioinformatics pipelines to streamline big data analysis to answer problems facing precision medicine. Latest research problems we addressed in my lab in the cancer field are (1) identifying the shared mechanisms driving the development of COPD and lung cancer, (2) developing a novel framework for causal regulatory network inference and (3) utilizing frequent subgraph mining to find functional dysregulation patterns across the cancer spectrum.