Nishat Anjum Bristy

prof_pic.jpg

GHC 7505

Carnegie Mellon University

Pittsburgh, PA 15213

I am a third 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
  • Computational Cancer Genomics
  • Tumor Phylogeny
  • Algorithms
  • Bulk and Single-cell multi-omics
  • Discrete and Continuous Optimization Problems

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. 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
  2. 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
  3. 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