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Research Aim:
Glioblastoma (GB) is one of the most lethal cancers with poor prognosis across the globe. Genetic alterations in GB patients exhibit distinct phenotypes that can be visualized non-invasively through medical imaging. In this regard, radiogenomics play an important role in exploring the link between genomic and imaging features for the non-invasive assessment of tumor. My study aim to find the prognostic biomarkers using GB patients’ MRI data for early diagnosis. I will be working on radiology data and establish a relation of radiomic features with genomics data (mutation/CNV) that will be used for biomarker identification. Outcome from this study will aid in the radiogenomics characterization of the GB tumors and early diagnosis of GB for better disease management and palliative care.
Ph.D Supervisor:
Dr. Rahul Kumar
Dr. Rahul Kumar is an Assistant Professor in the Department of Biotechnology, IIT Hyderabad. He completed his PhD in Bioinformatics from CSIR-IMTECH, Chandigarh. In his PhD, he worked on developing biological databases and machine learning based prediction models to design anticancer therapeutics. Then, he joined Institute of Cancer Research, London and there he worked on identification of synthetic lethal interactions using high throughput genomic technologies. Then he joined Memorial Sloan Kettering Cancer Center, New York and extensively worked on genetics of rare form of breast cancers to identify their putative genetic drivers. Later he joined Columbia University Irving Medical Center, New York as a staff scientist and focused on non-coding genome of diffuse large B-cell lymphoma (DLBCL), an aggressive type of blood cancer. Currently, he focus on implementing the computational genomics techniques to identify the genetic drivers of cancer progression and drug resistance. Also, interested in investigating the non-coding genome and how the genomic aberrations in non-coding genome can initiate the disease.
Dr. Rahul Kumar is an Assistant Professor in the Department of Biotechnology, IIT Hyderabad. He completed his PhD in Bioinformatics from CSIR-IMTECH, Chandigarh. In his PhD, he worked on developing biological databases and machine learning based prediction models to design anticancer therapeutics. Then, he joined Institute of Cancer Research, London and there he worked on identification of synthetic lethal interactions using high throughput genomic technologies. Then he joined Memorial Sloan Kettering Cancer Center, New York and extensively worked on genetics of rare form of breast cancers to identify their putative genetic drivers. Later he joined Columbia University Irving Medical Center, New York as a staff scientist and focused on non-coding genome of diffuse large B-cell lymphoma (DLBCL), an aggressive type of blood cancer. Currently, he focus on implementing the computational genomics techniques to identify the genetic drivers of cancer progression and drug resistance. Also, interested in investigating the non-coding genome and how the genomic aberrations in non-coding genome can initiate the disease.
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