Biography

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 COMBINE-Lab. I also collaborate with Love Lab at the University of North Carolina at Chapel Hill. My research interests lie in the application and development of algorithms, 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 the main inferential unit for analysis and using them for alternative splicing analysis and clustering on full-length single-cell sequencing datasets.

I completed my undergraduate studies along with an MS by Research degree under the guidance of Dr. Vinod PK at IIIT-Hyderabad in India, where I studied the changes in the expression patterns between different stages of papillary renal cell carcinoma using RNA-seq 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.

Interests
  • Computational Biology
  • Algorithms and data structures for data processing
  • Machine Learning
  • Statistical Learning
Education
  • PhD in Computer Science, 2019-2025

    UMD - College Park

  • MS in Computer 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

Recent News

All news»

[04/07/25] alevin-fry-atac and oarfish got accepted at ISMB, 2025.

[03/13/25] Defended my PhD dissertation.

[02/26/25] Invited to give a talk at the MIA seminar in Boston for analyzing RNA-seq data using a tree-based framework. Here is the youtube link.

[12/02/24] Alevin-fry-atac enables rapid and memory frugal mapping of single-cell ATAC-seq data using virtual colors for accurate genomic pseudoalignment, preprint is out on bioRxiv.

[07/31/24] Replicable framework for long-read quantification methods, preprint is out on bioRxiv.

[12/25/23] mehenDi preprint is out on bioRxiv.

Publications

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(2023). Tree-based differential testing using inferential uncertainty for RNA-Seq. bioRxiv.

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(2023). TreeTerminus - Creating transcript trees using inferential replicate counts. iScience.

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Contact

  • npsingh@umd.edu
  • 3017429013
  • Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Drive, College Park, MD 20740