My current post-doctoral research work focuses on evaluating somatic mutations associated with the vascular wall of age-related cardiovascular disease (CVD).
I am a postdoctoral researcher at Prof. Maria Eriksson's lab. My current research focuses on evaluating somatic mutations associated with the vascular wall of age-related cardiovascular disease (CVD). I completed my Ph.D. in Medical Science at the University of Gothenburg. I previously worked on identifying chromatin-associated long noncoding in cancer using various transcriptome and chromatin-based high-throughput sequencing datasets.
My overall objective is to work with the health care industry to benefit the general public. I have experience in data analysis, designing pipelines, and statistical inference of complex data. I am familiar with SLURM workload manager, LINUX, High-Performance Computing (HPC), and cloud computing. Expert in performing integrative analysis of multi-layered biological datasets and advanced visualization.
★ Analyzed transcriptome and chromatin-based datasets from cell lines and tumors
★ Performed integrative approaches by combining multiple datasets such as
- Methylation-based (Methyl-seq, RRBS-seq, MBD-seq-seq, MEDIP-seq)
- RNA-based (RNA-seq, scRNA-seq, Microarray)
- Protein-based (Proteome array)
- Chromatin-based (ChIP-seq, ChRIP-seq, ChOP-seq)
- Sequence-based (Motif analysis, promoter-proximity analysis, conservation analysis)
★ Designing computational tools to address problems in functional genomics (GeneSCF).
Current Interests (Postdoc: Erikssonlab)
Keen to address molecular mechanisms involved in disease prognosis by integrating datasets from various high-throughput techniques. My current postdoctoral project work involves identifying somatic mutations in the vascular wall of age-related cardiovascular disease (CVD).
Brief description of my doctoral research work (Kandurilab)
I have experience in the field of cancer, noncoding RNAs, epigenetics, and chromatin biology. During my Ph.D., I worked with transcriptome (nascent and stable RNAs), chromatin immunoprecipitation (DNA and RNA), and genome (methylome) based high-throughput sequencing datasets. By analyzing genome-wide chromatin profiles, I have proposed distinct mechanisms of active and repressive chromatin-associated RNA molecules. Moreover, with an integrative approach using chromatin and transcriptome datasets of mammalian gametes, early-late developmental stages, somatic, and cancer tissues, I have identified a unique set of sperm-specific long noncoding RNAs (lncRNAs) having a role in multiple cancer. Additionally, using the nascent RNA sequencing approach and PAN-cancer datasets (transcriptome and methylome) from The Cancer Genome Project (TCGA), I have identified cell-cycle associated oncogenic and tumor suppressor lncRNAs in multiple cancers.
Ph.D. in Medical Science
July 2014 – December 2020.
Department of Medical Biochemistry & Cell Biology, University of Gothenburg, Sweden.
Titel: Chromatin and transcriptome-based integrative approaches to profile functional long noncoding RNAs - A computational approach.
Ph.D. Supervisor: Prof. Chandrasekhar Kanduri
Bachelor of Technology (B.Tech.) in Bioinformatics
March 2004 - May 2008
Department of Bioinformatics, School of Bio-engineering, SRM University, India
Academic honours, awards and prizes
Swedish Society For Medical Research (SSMF)
Type: Three-year grant for post-doctoral studies in medical science
Grant amount: 2,340,000 SEK
Period: July 2021- June 2023
Project: Identification of somatic mutations in the vascular wall – new risk factors and targets for age-related cardiovascular disease.
The Royal Swedish Academy Of Sciences (KVA)
Type: Post-doctoral project grant for research in Biosciences.
Grant amount: 100,000 SEK
Period: April 2021- April 2022
Project: The contribution of somatic mutations to misregulated regulation of LINE elements in aging.