1. MD-PhD Program

Research

The Icahn School of Medicine at Mount Sinai is renowned for its research opportunities, which attract outstanding students interested in pursuing the MD-PhD program. Once on campus, they enjoy access to cutting-edge facilities in a range of research areas among the Multidisciplinary Training Areas:

As an MD-PhD student, you will have the opportunity to work alongside faculty members who are national and global leaders within their scientific fields. The MD-PhD Program at Mount Sinai is designed to train students to become physician-scientists who can translate their scientific discoveries into clinical practice. It emphasizes interdisciplinary research training and provides a comprehensive curriculum that includes both medical and research education.

Icahn Mount Sinai also provides ample opportunities for students to engage in research activities outside the classroom, including summer research programs, clinical research rotations, and electives. Icahn Mount Sinai’s location in New York City—one of the world's major research hubs—additionally helps students collaborate across research institutions.

MD-PhD students engage in multiple rotations to carefully choose a lab and mentor. During these rotations, students explore different research topics, labs, and mentors to find the best fit for their interests and career goals.

Rotations play a vital role in helping students select a mentor who aligns with their research interests, and whose lab provides a solid foundation for their future research career.

The PhD in Biomedical Sciences and the PhD in Neuroscience prepare students with the critical thinking and innovative technical skills essential for conducting translational and transformative research. As a student, you will work with our renowned faculty and a mentor on an independent research project that culminates in your dissertation.

The following list provides a sample of dissertation titles of our recent graduates, based on their elected training area.

  • Cancer Biology:
    • Investigating ARID2-mediated chromatin regulation in melanoma
    • Targeting Pseudokinases with Conformation-specific Small Molecules
    • Dual inhibition of FLT3 and Src Pathways by ON150030 as a Novel Strategy for AML therapy

  • Development, Regeneration, and Stem Cells:
    • The role of regulatory T cells in tendon regeneration
    • Transcription factor overexpression to initiate a hemogenic program in human fibroblasts
    • Bypassing mutant p53 in radiation therapy

  • Disease Mechanism and Therapeutics:
    • Modeling the ultrastructural features of ventricular cardiomyocytes: Implications for Ca2+ signaling in heart failure
    • Methods for the clinical deployment of machine learning algorithms
    • Inferring Transcriptional Regulation by Data Integration

  • Genetics and Genomic Sciences:
    • A genotype-first approach to diabetes
    • Integration of large-scale genetic and clinical data in population-based biobanks for precision medicine
    • Identifying and modeling multi-omic interactions across molecular subtypes of Alzheimer's Disease

  • Immunology:
    • Advances in understanding IBD pathogenesis across populations via multimodal data integration
    • Down syndrome: a paradox of immune suppression and autoimmunity
    • Identification and characterization of p53 as a regulator of CD80 in colorectal cancer

  • Microbiology:
    • Viruses are the Best Cell Biologists: Viral Engineering to Deliver Gene Editing Tools and Interrogate SARS-CoV-2 Entry
    • Anti-neuraminidase antibodies as potential biopharmaceuticals for the prevention and treatment of influenza
    • Influenza virus vaccines: enhancing immunogenicity of the viral neuraminidase

  • Neuroscience:
    • Studies on Epigenetic and Transcriptional Regulation of Peripheral Nerve Injury in Mesocorticolimbic Circuitry
    • Dynamical foundations of task-related computation
    • A computational psychiatry approach towards momentary craving