I am a PhD Student at the Department of Computer Science at the University of Maryland, College Park (UMD). At UMD, I am part of CBCB and work with Dr. Rob Patro who leads the awesome COMBINE-Lab. My research involves exploring the approaches for quantifying transcriptional uncertainty and creating methods to leverage it for a more informed and accurate downstream analysis. I am in general interested in application and development of statistical and machine learning methods for analysing different high-throughput genomics data. I am also passionate about using data for precision and translational medicine.

Before joining the COMBINE-Lab, I worked with Dr Héctor Corrada Bravo on using transcriptome segments as base units for quantification and applying them for alternative splicing analysis and clustering on full-length single cell sequencing datasets.

I did my undergrad at IIIT-H in India where I also obtained a MS by Research under Dr. Vinod PK. I studied the changes in the patterns between different stages of papillary renal cell carcinoma using RNASeq and DNA methylation data. I also examined the relationship between these two modalities and developed integrative machine learning models to predict the stage of cancer.

During the summer of 2017, I also got to work as an intern under Dr. Simon Anders at ZMBH, University of Heidelberg. I worked on developing libraries for the visualization of genomics data and on integrating single cell with bulk RNASeq data. I also collaborated with Dr. Sam Corless at Erhardt Lab to analyze thousands of ChipSeq datasets in order to find which proteins are enriched at different regions of the genome.