Our Team

Research Statement: Biological systems are complex with thousands of cellular components and are dynamic in nature. Our lab is excited about exploring and understanding the inner workings of complex biological systems as well as evolution of such systems, and applying our understanding for betterment of human health. A major interest of the lab is to understand the molecular drivers of intra-tumor phenotypic heterogeneity, as it has important implications for cancer progression, therapy resistance and relapse. A second major area of focus of the lab is to develop computational frameworks and machine learning models to decipher the intra-tumor heterogeneity and linking it to cancer progression and therapy response. Our work is highly interdisciplinary in nature. In addition to basic molecular biology techniques, we use flow cytometry, fluorescence microscopy, Next Generation Sequencing, computational techniques and mathematical modelling to address our research questions.

Open positions: I am looking for talented and motivated Postdocs and PhD students in computational domains. Applicants with backgrounds in Biological Sciences, Bioinformatics, Physics, Mathematics, Computer Science, Mechanical Engineering and Microfluidics with an interest in understanding complexity of biological systems are welcome to apply. If you are interested in joining the lab, please email me your CV along with a brief statement of your research interest. We are also happy to support applications for diverse fellowships for PhD students and postdocs.