Ahmed M. Elhossiny

Postdoctoral Fellow

Computational Oncology

Memorial Sloan Kettering Cancer Center

About

My research career is defined by a commitment to bridging computational oncology and experimental biology to accelerate the development of translatable therapeutic strategies. Trained as a pharmacist, I developed an early appreciation for the full arc of drug development—from foundational biological discovery to direct patient benefit.

I pursued a PhD in Bioinformatics at the University of Michigan to build the statistical and computational foundation needed to extract meaningful biology from large-scale, complex data. Under interdisciplinary mentorship at Michigan, Johns Hopkins, and Memorial Sloan Kettering, I am focusing on dissecting epithelial and stromal co-evolution in cancer using single-cell and spatial transcriptomics.

Education

  • PhD · Bioinformatics — University of Michigan, Ann Arbor, MI (2020–2025)
  • MS · Genetics, Genomics & Bioinformatics — State University of New York at Buffalo, NY (2018–2020)
  • BPharm · Pharmacy — Ain Shams University, Cairo, Egypt (2011–2016)

Awards & Fellowships

  • Rackham Predoctoral Fellowship · University of Michigan (2024–2025)
  • Rackham International Student Fellowship · University of Michigan (2021)
  • Fulbright Scholarship · Egyptian Student Program (2018–2020)
  • BPharm with Excellent Grade & High Honors · Ain Shams University (2016)

Selected Publications

  • Asynchronous evolution of epithelium and stroma differentiates precursor lesions from pancreatic cancer Elhossiny AM, Kadiyala P, Okoye JO, et al. Cancer Discovery, 2026
  • Analysis of Donor Pancreata Defines the Transcriptomic Signature and Microenvironment of Early Neoplastic Lesions Carpenter ES, Elhossiny AM, Kadiyala P*, et al. Cancer Discovery, 2023
  • Oncogenic and tumor-suppressive forces converge on a progenitor-orchestrated niche to shape early tumorigenesis Reyes J, Del Priore I, …, Elhossiny AM, …, Lowe SW Cell, 2026
  • Immune heterogeneity in small-cell lung cancer and vulnerability to immune checkpoint blockade Nabet BY, …, Elhossiny AM, …, Shames DS Cancer Cell, 2024
  • Immunocompetent Murine Models Recapitulate the Heterogeneous Tumor-Immune Microenvironment of Human Liposarcoma Shafer AM, …, Elhossiny AM, …, Angeles CV Clinical Cancer Research, 2025
  • Proximogram — A multi-omics network-based framework to capture tissue heterogeneity Krishnan SN, Ji S, Elhossiny AM, et al. Computers in Biology and Medicine, 2024