Nishat Anjum Bristy

prof_pic.jpg

GHC 7505

Carnegie Mellon University

Pittsburgh, PA 15213

I am a fourth year PhD student in School of Computer Science at Carnegie Mellon University. I am advised by Dr. Russell Schwartz. My research interests broadly lie in the area of -

  • Machine Learning for Health
  • Genomic Foundation Models
  • Computational Cancer Genomics
  • Tumor Phylogeny
  • Algorithms and Optimization
  • Bulk and Single-cell multi-omics

I have completed my undergraduate studies in Computer Science and Engineering from Bangladesh University of Engineering and Technology, where I worked under the supervision of Dr. Md. Shamsuzzoha Bayzid on alignment-based and alignment-free phylogenetic distance estimation.

Apart from work, I am enthusiastic about swimming and reading.

News

Jul 10, 2024 I am honored to receive the CMLH Fellowship in Digital Health Innovations, 2024.
Apr 27, 2024 Presented my work, Sc-TUSV-ext, at RECOMB-CCB, 2024. [slides]
Mar 12, 2024 My work titled Sc-TUSV-ext is accepted at RECOMB-CCB, 2024.

Selected Publications

  1. bioRxiv
    Theoretical estimates on the expected number of mutations for reconstructing clonal lineage trees
    Nishat Anjum Bristy, and Russell Schwartz
    bioRxiv, 2025
  2. Bioinform. Adv.
    Deconvolution and Phylogeny Inference of Diverse Variant Types Integrating Bulk DNA-seq with Single-cell RNA-seq
    Nishat Anjum Bristy, and Russell Schwartz
    Bioinform. Adv., 2025
    PDF
  3. RECOMB-CCB
    Sc-TUSV-ext: Single-cell clonal lineage inference from single nucleotide variants (SNV), copy number alterations (CNA) and structural variants (SV)
    Nishat Anjum Bristy, Xuecong Fu, and Russell Schwartz
    Journal of Computational Biology, 2023
    PDF
  4. Bioinform. Adv.
    Genome-wide alignment-free phylogenetic distance estimation under a no strand-bias model
    Metin Balaban*, Nishat Anjum Bristy*, Ahnaf Faisal, and 2 more authors
    Bioinformatics Advances, 2022
    PDF