Computational & Systems Biology Program

The Caleb Lareau Lab


Caleb Lareau
Caleb Lareau, PhD

The focus of the Lareau Lab is to understand how cells in our bodies adapt, expand, and evolve during the course of our lives, particularly in the immune system. The theme of our lab’s research is Computational and Translational Immunology, which is purposefully broad but grounds our research program in these tenets:

  • Each of our studies develops or utilizes advanced computational methods to discern patterns from large datasets, typically generated from genomics sequencing.
  • Inspired by the promise and demonstrated efficacy of immunotherapies, we focus our research to understand and manipulate properties of immune and hematopoietic cells.
  • We ask questions with translational relevance in mind. These may be derived from a specific clinical observation or framed to study a biological principle that may underlie disease or response to therapy.

We are particularly interested in how somatic evolution—the collection of mutations, infections, and exposures to therapies that humans experience over a lifetime—reshapes fundamental cellular processes in the immune system.

To conduct our work, our group develops and applies computational methods and genomics-based technologies. We specialize in utilizing single-cell multi-omics approaches that profile multiple orthogonal properties of the same cells, including cell state (i.e. accessible chromatin, RNA, and protein) as well as cell lineage (i.e. somatic mtDNA and nuclear mutations). In addition to resolving the functional heterogeneity of immune cells throughout the body, we hope to help translate our basic observations into safer and more efficacious cancer immunotherapies.

Publications Highlights

C.A. Lareau+, et al. (2023) Latent human herpesvirus 6 is reactivated in CAR T cells. Nature. DOI: 10.1038/s41586-023-06704-2

C.A. Lareau+, et al. (2023) Single-cell multi-omics reveals dynamics of purifying selection of pathogenic mitochondrial DNA across human immune cells. Nature Genetics. DOI: 10.1038/s41588-023-01433-8.

C.A. Lareau+, et al. (2023) Mitochondrial single cell ATAC-seq for high-throughput multi-omic detection of mitochondrial genotypes and chromatin accessibility. Nature Protocols. DOI: 10.1038/s41596-022-00795-3.

A.M Tousley, M.C. Rotiroti, L Labanieh, L.W. Rysavy, W. Kim, C.A. Lareau, et al. (2023). Co-opting T cell proximal signaling molecules enables Boolean logic-gated CAR T cell control. Nature. DOI: 10.1038/s41586-023-05778-2.

C.A. Lareau+. (2023). Resolving subtle cell states in sparse single-cell data. Nature Biotechnology DOI:10.1038/s41587-023-01797-6.

View All Publications


Caleb Lareau

Caleb Lareau, PhD

  • The Lareau Lab synthesizes computational and experimental genomics methods to study how immune cells in our bodies adapt, expand, differentiate, and evolve over an individual’s lifetime.
  • PhD, Harvard University; Cambridge, MA
[email protected]
Email Address


Arthur Chow

Research Fellow

Erin Cumming

Research Fellow

Laura Kida

Graduate Research Assistant

Benan Nalbant

Sr. Research Technician

Shekinah Scott

Administrative Assistant

Lab Affiliations


  • K99/R00 Pathway to Independence Award (2022-2027)
  • Forbes 30 under 30 (2022)
  • STAT Wunderkind (2022)
  • Stanford Science Fellowship (2020-2023)
  • NCI F31- Ruth L. Kirschstein National Research Service Award (2018-2020)
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  • National Science Foundation Graduate Research Fellowship (2015-2018)
  • Barry M Goldwater Scholar (2013)
  • University of Tulsa Presidential Scholar (2011-2015)

Open Positions

To learn more about available postdoctoral opportunities, please visit our Career Center

To learn more about compensation and benefits for postdoctoral researchers at MSK, please visit Resources for Postdocs

Graduate Students

We are actively recruiting graduate students with interests in computational biology, single-cell genomics, immunotherapy, and/or molecular genetics.

Apply now

Postdoctoral Fellows

We are recruiting postdoctoral associates to help build the research environment in the lab. We are particularly interested in individuals with wet-bench backgrounds, including those that seek mentored training in computational biology, data science, genomics, and/or biotechnology.

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