Zoheb Khan

(he/him/his)

Zoheb Khan, incoming Biology PhD student at New York University

About Me

I am an incoming doctoral student in Biology at New York University, starting in Fall 2026. I graduated from the University of Chicago in 2022 with a B.A. in Genetics. After graduation, I worked as a bioinformatician in the Moskowitz Lab, where I studied Hedgehog signaling-dependent gene regulatory networks that govern the timing and lineage specification of cardiac and neural progenitor differentiation.

My Research

In the Moskowitz Lab, I studied how Hedgehog signaling shapes differentiation timing and lineage specification in iPSC-derived cardiac and neural progenitors, including comparisons of trisomy 21 and matched disomy cells across developmental time.

I integrated time-course RNA-seq with chromatin accessibility and transcription-factor binding data to identify candidate regulators of developmental timing and cell-fate commitment.

Selected projects

  • Developmental timing of cardiac progenitor differentiation in Down syndrome.

    Comparing trisomy 21 and matched disomy iPSC-derived cardiac progenitors across differentiation time points to identify shifts in transcriptional maturation.

  • Transcription factor-dependent neurotransmitter subtype specification in iPSC-derived neuronal differentiation.

    Studying temporal gene regulatory programs that distinguish excitatory VGLUT1/VGLUT2 and inhibitory GlyT2/VGAT neuronal subtype programs.

  • Hedgehog-dependent gene regulatory control of progenitor differentiation timing and fate.

    Integrating time-course expression and chromatin data to identify GLI1-dependent transcription factors and cis-regulatory elements that regulate the timing and fate of cardiac and neural progenitor differentiation.

Research Interests

I am interested in using transcriptomic and regulatory-genomic approaches, including RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, and single-nucleus RNA-seq, to investigate the gene regulatory logic underlying developmental timing and cell-fate decisions. In particular, I want to understand how transcription factors, chromatin state and conformation, and cis-regulatory elements determine when progenitor cells terminally differentiate and which fates they adopt.

R packages and functions

I have recently made more of an effort in my free time to clearly and reproducibly document my library of personal functions and workflows that I have accumulated across the various bioinformatics projects I have worked on. To this end, I have documented and organized around half of these scripts and workflows in the repositories that I have listed below. Each repository has an associated tutorial/vignette site, except where noted. Feel free to clone/fork/adapt any of my scripts or workflows to your use case. Please contact me at zohebkhan600@gmail.com if you have questions.

  • Principal components analysis-based time-course maturation score

    Places bulk RNA-seq samples along a reference differentiation time course by projecting them onto a PCA trajectory fitted through timepoint centroids.

  • Gene Set Enrichment Analysis ranked waterfall plots

    Plots precomputed GSEA results as NES-ranked waterfalls, volcanoes, and cross-contrast scatter plots.

  • encodeUtils

    An R package for searching the ENCODE Portal, downloading and verifying files, and recording their provenance.

  • Control-matched bulk RNA-seq single sample gene set scoring

    Single sample control expression-matched gene set scoring for bulk RNA-seq.

  • biocontext

    A macOS terminal UI for answering Bioconductor package questions from local documentation and exact package source, with citations for the supporting file, line range, package version, and Bioconductor release.

Publications

Research profiles ORCID ResearchGate
  1. Burnicka-Turek, O., Trampel, K., Laforest, B., Broman, M., Yang, X., Khan, Z., Rytkin, E., Li, B., Schaffer, E., Gadek, M., Shen, K., Efimov, I., & Moskowitz, I. Coordinated Tbx3/Tbx5 transcriptional control of the adult ventricular conduction system. eLife, 2025.

  2. Broman, M., Nadadur, R., Perez-Cervantes, C., Burnicka-Turek, O., Lazarevic, S., Gams, A., Laforest, B., Steimle, J., Iddir, S., Wang, Z., Smith, L., Mazurek, S., Olivey, H., Zhou, P., Gadek, M., Shen, K., Khan, Z., et al. A genomic link from heart failure to atrial fibrillation risk: FOG2 modulates a TBX5/GATA4-dependent atrial gene regulatory network. Circulation, 2024.

  3. Khan, Z., Hamandi, M., Khan, H., DiMaio, J., & Evans, M. Convergent epicardial-endocardial ablation for treatment of long-standing persistent atrial fibrillation: A review of literature. Journal of Cardiac Surgery, 2020.