My research focuses on understanding biology as an interconnected system. Rather than studying genes, proteins, pathways, or tissues in isolation, I integrate diverse biological datasets to investigate how molecular components interact, how cellular states are established and maintained, and how these systems change during development, disease, and adaptation.
Over the years, I have worked across several areas of computational biology — protein–protein interactions, comparative genomics, gene regulation, transcriptomics, metabolic networks, evolutionary biology, developmental neurobiology, and human disease. These areas may appear distinct, but they share a common question: how can relationships hidden within complex biological data be identified and used to understand biological function?
My current research brings these perspectives together through large-scale analysis of genomic and transcriptomic data, including bulk and single-cell expression datasets. I develop computational approaches to reconstruct regulatory and molecular networks, identify relationships between biological components, and examine how these relationships vary across tissues, developmental stages, and disease states. A central aim is examine the coordinated behaviour of biological systems than individual genes.
A major direction of my research is the study of gene regulation, cellular states, and communication between biological systems. By analysing gene expression across large collections of biological conditions, I investigate how transcription factors and other molecular components influence cellular programmes — including changes associated with development, disease, and cellular-state transitions. This provides a data-driven framework for identifying regulatory relationships without relying exclusively on previously established interactions. At the same time, my work in protein interactions, developmental neurobiology, and human disease has increasingly led toward questions of how molecular information is coordinated across tissues. The brain, immune system, blood, and peripheral tissues are not independent; their functions emerge through extensive molecular communication. Understanding these connections may open new ways to investigate complex neurological, neuropsychiatric, and systemic diseases.
Across these areas, my broader objective is to develop computational strategies that transform heterogeneous biological observations into testable biological hypotheses. The long-term goal is not simply to describe biological patterns, but to identify relationships and control points that can be investigated experimentally and, where supported by evidence, translated toward therapeutic discovery, antimicrobial strategies, cellular engineering, and biotechnology.