Wu, Jia (Faculty Profile)

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Faculty Profile

Last Modified Time: 01:05:34 PM Tue, 24 May 2022

Contact Information
Jia Wu	Associated Profiles
Assistant Professor, Imaging Physics, UT MD Anderson Cancer Center


JWu11@mdanderson.org 713-792-6979 Web Link Lab Webpage
Tumor, Neoplasms, Non-Small Cell Lung Carcinoma, Cancer, Breast Neoplasms

Professional Preparation
Research and Expertise
Affiliations
Appointments

Professional Preparation

Degree	Major	Institution	Year
PhD	Bioengineering and Civil Engineering	University of Pittsburgh	2013
MS	Mechanical Engineering	Harbin Institute of Technology	2009
BS	Mechanical Engineering	Harbin Institute of Technology	2007

Research and Expertise

Research Interests

Biomarkers that can stratify patients with clinical relevance are critically needed for precision medicine in the cancer field. However, spatial heterogeneity of molecular subpopulations within a tumor has posed critical challenges of biospecimen-derived metrics. By contrast, medical imaging captures a comprehensive macroscopic picture of tumor phenotype as well as its surrounding environment. Though imaging is used daily in oncology, e.g., clinical TNM stage, studies of intrinsic phenotypes are needed to explore rich imaging descriptors. With NIH K99 support, Dr. Wu has proposed innovative artificial intelligence pipelines to extract quantitative imaging features of the tumor and its adjacent parenchyma, and more importantly, these imaging markers are proven to be independent and complementary to the clinicopathologic and molecular marker.

At MD Anderson, Dr. Wu directs a lab that focuses on addressing unmet clinical challenges of precision oncology through leveraging multidisciplinary knowledge, including artificial intelligence, medical image analysis, bioinformatics, and more. His research will be centered on developing useful radiologic markers with three general aims, with Aim 1 to discover clinically relevant radiologic patterns to assist cancer diagnosis, prognosis, and optimize treatment; Aim 2 to identify biological underpinnings of putative radiologic patterns through integrating with 'omic' and pathologic data; Aim 3 validate and translate the newly discovered radiologic markers into clinical practice to improve cancer patient management.

Publications/Creative Works

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Affiliations

Research Consortia

Gulf Coast Cluster for Translational Imaging

Appointments

Title	Department / School	Institution
Assistant Professor	Imaging Physics	UT MD Anderson Cancer Center

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