Human Oncology & Pathogenesis Program

The Joe Chan Lab

Research

Joe Chan, MD, PhD

The Joe Chan Lab combines machine learning with disruptive single-cell sequencing and multiplex spatial imaging to study lineage plasticity in cancer, with a particular focus on histological transformation, as a mechanism of acquired resistance, immune escape, and metastasis. The lab has a special interest in quantifying plasticity across space, time, and cancer types.

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Publications Highlights

Laederach A, Chan JM*, Schwartzman A, Willgohs E, Altman RB. Coplanar and Coaxial Orientations of RNA Bases and Helices. RNA, 05/2007: 13(5):643-50. PMCID: 1852812

Chan J*, Holmes A, Rabadan R. Network Analysis of Global Inuenza Spread. PLoS Comput Biol, 2010: 6(11): e1001005. PMCID: PMC2987833.

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People

Joe Chan, MD, PhD

[email protected]
Email Address

Members

Britney Forsyth

Bioinformatics Software Engineer

Morgan Lallo

Bioinformatics Intern

Christina Marciante

Administrative Assistant II

Swanand Rakhade

Medical Student

Lab Affiliations

Achievements

  • Clinical Investigator Award, K08CA259161, National Cancer Institute (2021-Current)
  • Young Investigator Award, American Society of Clinical Oncology & Conquer Cancer Foundation (2021-Current)
  • Lung Cancer Research Fellowship, American Association for Cancer Research (2021)
  • Harborside Endowed Merit Award, American Society of Clinical Oncology & Conquer Cancer Foundation (2021)
  • World Conference on Lung Cancer Early Career Award, International Association for the Study of Lung Cancer (2021)
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  • Gerry Fellowship, Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center (2020-2021)
  • Distinguished Young Investigator Award, EGFR Resisters (2020)

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

Career Opportunities

The laboratory has funding for multiple positions, including graduate students, postdocs, and bioinformatics engineers. Experience in programming is strongly preferred.

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