Research Labs

and/or
27 Faculty Members found
Image from the cover of Journal of Clinical Investigation, August 2016
Memorial Hospital Research Laboratories
Physician-scientist Prasad S. Adusumilli studies tumor immunology and the development of T-cell‒mediated immunotherapy for thoracic malignancies and pleural-based diseases.
The Daniel Bachovchin Lab Group Photo
Chemical Biology Program
Chemical biologist Daniel Bachovchin designs selective inhibitors to study enzymes and pathways in cancer and immune system signaling.
The Vinod Balachandran Lab
Immuno-Oncology Program
Surgeon scientist Vinod Balachandran develops novel immunotherapies for pancreatic cancer.
Immuno-Oncology Program
The Brown Lab studies how the tissue environment shapes immune cell fate and function during early life immune development, inflammation, and cancer.
Nai-Kong Cheung Lab Group
Memorial Hospital Research Laboratories
Physician-scientist Nai-Kong Cheung focuses on engineering antibodies and immune cells to treat both solid tumors and liquid tumors in children.
Memorial Hospital Research Laboratories
Jonathan Coleman is a physician-scientist focused on translational research, cancer genomics, and patient-derived organoid models in the study of urologic malignancies. Ongoing work includes the development of local ablative therapies, their influence on the tumor microenvironment, and implications for therapy response.
The Liang Deng Lab
Memorial Hospital Research Laboratories
Physician-scientist Liang Deng studies poxvirus interface with the immune system and the development of poxviruses as oncolytic and immunotherapy for cancers.
The Luis Diaz Lab
Memorial Hospital Research Laboratories
Our team is focused on developing novel tools and approaches for the diagnosis and treatment of cancer using genomics as a guide.
The Gretchen Diehl Lab
Immunology Program
The Diehl lab studies how the microbiota and other exogenous factors regulate development and function of the intestinal immune system.
Epidemiology & Biostatistics
The Greenbaum lab utilizes techniques from statistical physics, information theory, and evolutionary biology to better understand the role of self/non-self discrimination in tumor evolution, model response to immunotherapies, and quantify drivers of virus and cancer evolution.