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.
PhD in Computer Science, 2019-Present
UMD - College Park
MS in Compuer Science, 2019-2021
UMD - College Park
MS by Research in Computational Natural Science, 2017-2019
IIIT - Hyderabad
BTech in Computer Science with Honours, 2013-2017
IIIT - Hyderabad
Responsibilities include: