Welcome To SysMed lab

Our lab is situated at the Centre for Computational Natural Sciences and Bioinformatics, IIIT Hyderabad. We are an interdisciplinary team working at the intersection of biology, mathematics, and computer science. Our approach involves utilizing both bottom-up methodologies, which entail building detailed mathematical models, and top-down strategies, which involve analyzing large-scale datasets. These approaches allow us to generate a systems-level understanding of complex cellular processes and human diseases and develop predictive models with applications in Medicine.

Our research encompasses key areas:

Network Modeling: We employ mathematical modeling, dynamical systems theory, and network theory to explore the structure and dynamics of intricate biological networks. This approach allows us to uncover fundamental principles governing cellular interactions and signaling pathways.

Data Analysis Across Multiple Levels: Our analysis spans various types of data, including clinical records, bulk and single-cell multi-omics data, and tissue-level images. By leveraging machine learning and deep learning techniques, we develop models capable of classifying disease stages and predicting severity.