We develop radio-genomic, deep learning/AI, and LLM approaches in cancer biology and personalized radiation therapy (RT), using multi-omics (scRNA-seq, snRNA-seq, ATAC-seq, WGS, etc., and proteomics & metabolomics), imaging (CT/PET/MRI), and clinical data.

We are highly collaborative! Contact us

Join us: Openings

(Postdocs, PhD students, Bioinformaticians, Research Assistants, and Others)

We are also taking DBBS and MSTP rotation students and PSTP Postdocs, please see my DBBS faculty profile.

Recent Projects:

I. NCI R01 Research Project Grant – Title: Integrating multi-omics, imaging, and longitudinal data to predict radiation response in cervical cancer.

$1,663,760, 2023-2028

Jin Zhang, PhD, has been awarded an NCI R01 Research Project Grant in the amount of $1,663,760 over a period of 5 years. The title of his work is “Integrating multi-omics, imaging, and longitudinal data to predict radiation response in cervical cancer”. This is the second R01 grant Dr. Zhang has been awarded during 2023.

II. NCI R37 Research Project Grant (Converted from R01) – Title: HPV genomic structure in cervical cancer radiation response and recurrence detection.

$1,621,283, 2023-2028, can be extended to 2030.

III. NCI ITCR R21 Developmental Research Grant Award – Title: Deep learning in cervical cancer radiogenomics.

$257,125, 2022-2024

IV. NCI U54 Specialized Center – Cooperative Agreements – Title: Washington University (WU) ROBIN Center: MicroEnvironment and Tumor Effects Of Radiotherapy (METEOR), PIs: Schwarz, Robinson.

METEOR-BioLogical Specimen Translation (METEOR-BLST). Co-I: Zhang

7.8 million, 2023-2028

Proud to be part of our Translational Radiation Oncology Center (TARGET):

sites.wustl.edu/translationalradiation/

Trainees may be co-advised by center faculties, and/or have opportunities to receive training at ROBIN Collaborating Institutions (Maryland, Thomas Jefferson, Cornell, MSKCC, Chicago, Cleveland, Emory, and Dana-Farber) via the ROBIN Young Scientist Exchange Program (YSEP).

V. More exciting ongoing deep learning/AI, LLM, genomics, and multi-modal, multi-omics projects – Please reach out to me to discuss.