Reza Kalhor

Assistant Professor

410-614-4150

855 N. Wolfe St
Rangos 575
Baltimore, MD 21205


Biomedical Engineering

Molecular Biology and Genetics

Our research seeks to better understand dynamical biological processes, such as embryonic development and brain activity, by recording cells’ experiences in their genomes. To accomplish this objective, we develop: (A) molecular technologies that write cellular experiences into their nucleic acids, (B) sequencing strategies that read out written information with high spatial resolution, and (C) computational methods that reconstruct the underlying biological processes based on recorded information. We combine these recording approaches with genomics and epigenomics strategies to study early development, neurodevelopment, brain function, and cancer metastasis. Consequently, our work resides at the interface of biology and technology and involves both experimental and computational expertise.




Fang W, Bell CM, Sapirstein A, Asami S, Leeper K, Zack DJ, Ji H†, Kalhor R†. Quantitative fate mapping: A general framework for analyzing progenitor state dynamics via retrospective lineage barcoding. Cell. 2022 Nov 23;185(24):4604-4620.e32. PMID: 36423582

Leeper K, Kalhor K, Vernet A, Graveline A, Church GM, Mali P, Kalhor R†. Lineage barcoding in mice with homing CRISPR. Nat Protoc. 2021 Apr;16(4):2088-2108. PMID: 33692551.

Lee HH*, Kalhor R*, Goela N*, Bolot J, Church GM. Terminator-free template-independent enzymatic DNA synthesis for digital information storage. Nat Commun. 2019 Jun 3;10(1):2383. PMID: 31160595.

Kalhor R†, Kalhor K, Mejia L, Leeper K, Graveline A, Mali P, Church GM†. Developmental barcoding of whole mouse via homing CRISPR. Science. 2018 Aug 31;361(6405). pii: eaat9804. PMID: 30093604.

Kalhor R, Mali P, Church GM. Rapidly evolving homing CRISPR barcodes. Nat Methods. 2017 Feb;14(2):195-200. PMID: 27918539.

Kalhor R, Tjong H, Jayathilaka N, Alber F, Chen L. Genome architectures revealed by tethered chromosome conformation capture and population-based modeling. Nat Biotechnol. 2012 Jan;30(1):90-8. PMID: 22198700.