Jia Wu, PhD
Department of Imaging Physics, Division of Diagnostic Imaging
Present Title & Affiliation
Primary Appointment
Associate Professor, Department of Department Thoracic-Head & Neck Medical Oncology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
Associate Professor, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
Education & Training
Degree-Granting Education
| 2013 | University of Pittsburgh, Pittsburgh, Pennsylvania, US, Ph.D. in Civil & Bioengineering |
| 2009 | Harbin Institute of Technology, Heilongjiang, CN, M.S. in Mechanical Engineering |
| 2007 | Harbin Institute of Technology, Heilongjiang, CN, BS in Mechanical Engineering |
Postgraduate Training
| 2015-2018 | Postdoctoral Fellowship, Department of Radiation Oncology, Stanford University, Palo Alto, California |
| 2013-2015 | Postdoctoral Fellowship, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania |
Experience & Service
Institutional Committee Activities
Committee Member, Gulf Coast Consortia Translational Imaging Steering Committee, 2022 - Present
Committee Member, Breast Cancer Moon Shot IAB Committee, 2021 - Present
Honors & Awards
| Travel Award, 11th and 12th US National Congress on Computational Mechanics | |
| Featured Research Paper, Computer Methods in Biomechanics and Biomedical Engineering, Imaging & Visualization Journal Office | |
| Outstanding Reviewer Awards, Pattern Recognition | |
| Final List of Best Student Paper Award, SPIE Medical Imaging | |
| Editorial Highlighted Paper and News Release, RSNA Radiology Journal Office | |
| Outstanding Reviewer Awards, Physics in Medicine and Biology | |
| Outstanding Reviewer Awards, Computers in Biology and Medicine | |
| Introduction to Academic Radiology for Scientists Program (ITARSc), RSNA | |
| Featured Research Paper, International Society for Magnetic Resonance in Medicine | |
| Research Career Accelerator Program, Stanford Center for Clinical & Translational Research & Education | |
| Pathway to Independence Award (K99/R00), NIH/NCI | |
| Editor's Recognition Awards with Special Distinction, RSNA Radiology Journal Office | |
| UT Rising STARs Award, The University of Texas System | |
| NCI Awardee Skills Consortium (NASDC) | |
| Goldwater Scholar (Research Mentor) | |
| Rexanna's Foundation Award for Fighting Lung Cancer | |
| News and Views of Research Paper, Nature Machine Intelligence | |
| Monthly Readers’ Choice of Research Paper, Modern Pathology | |
| Invited Commentary of Research Paper, The Journal of Pathology | |
| DI Outstanding Jr. Faculty Award, The University of Texas MD Anderson Cancer Center | |
| Faculty Scholar Award President's Recognition of Faculty Excellence, The University of Texas MD Anderson Cancer Center | |
| Invited Commentary of Research Paper, The Lancet Digital Health | |
| Editor's Recognition Awards with Distinction, RSNA Radiology Journal Office | |
| Scholar-In-Training Award (Senior Author), AACR | |
| Hearst Health Prize Finalist | |
| Editor’s Choice of Research Paper, Annals of Oncology | |
| Invited Preview of Research Paper, Cell Reports Medicine |
Selected Presentations & Talks
Local Presentations
- 2023. Empower Digital Pathology with Machine Learning and Usher It into Multi-Modal Integration. Conference. Empower Digital Pathology with Machine Learning and Usher It into Multi-Modal Integration, US.
Regional Presentations
- 2023. The Beginning of the End for RECIST, and Moving Toward 3D Volumetric-Based Whole-Body Response with Its Application in Personalized Immunotherapy. Conference. The Beginning of the End for RECIST, and Moving Toward 3D Volumetric-Based Whole-Body Response with Its Application in Personalized Immunotherapy, US.
- 2023. Habitat Imaging Phenotypes Identify Tumor Molecular Programs and Patterns of Clinical and Circulating Disease Recurrence in Early-Stage Non-Small Cell Lung Cancer. Conference. Habitat Imaging Phenotypes Identify Tumor Molecular Programs and Patterns of Clinical and Circulating Disease Recurrence in Early-Stage Non-Small Cell Lung Cancer, US.
- 2023. Habitat Imaging Analysis: Application in COVID-19, Lung Cancer, Immunotherapy Toxicity. Conference. Habitat Imaging Analysis: Application in COVID-19, Lung Cancer, Immunotherapy Toxicity, US.
- 2023. STRIDE (STrategic Research Initiative DEvelopment) Research Town Hall -- Tumor Measurement Initiative. Conference. STRIDE (STrategic Research Initiative DEvelopment) Research Town Hall -- Tumor Measurement Initiative, US.
- 2023. Machine Learning to Augment Lung Cancer Screening. Conference. Machine Learning to Augment Lung Cancer Screening, US.
- 2022. Lung Cancer Analytics Platform. Conference. Lung Cancer Analytics Platform, US.
- 2022. Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19. Conference. Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19, US.
- 2022. Deep Learning of CT Predicts Benefit to Immunotherapy in Lung Cancer. Conference. Deep Learning of CT Predicts Benefit to Immunotherapy in Lung Cancer, US.
- 2022. Integrate imaging and Biospecimen-Derived Assays to Decipher Tumor Microenvironment in the Era of Immunotherapy. Conference. Integrate imaging and Biospecimen-Derived Assays to Decipher Tumor Microenvironment in the Era of Immunotherapy, US.
- 2021. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Conference. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy, US.
- 2021. Habitat Imaging Analysis of Lung Cancer. Conference. Habitat Imaging Analysis of Lung Cancer, US.
- 2020. Artificial Intelligence 101 in Medical Imaging: Open the Door to Discover Clinically Meaningful Imaging Markers in Precision Oncology. Conference. Artificial Intelligence 101 in Medical Imaging: Open the Door to Discover Clinically Meaningful Imaging Markers in Precision Oncology, US.
National Presentations
- 2023. Keynote Speaker: Multi-modal Integration and Modeling to Advance Precision Oncology. Conference. Keynote Speaker: Multi-modal Integration and Modeling to Advance Precision Oncology, US.
- 2023. Using large language models to predict clinical trial success. Conference. Using large language models to predict clinical trial success, US.
- 2023. Machine learning to analyze radiographic scans and digital pathology slides and integrate genomic data. Conference. Machine learning to analyze radiographic scans and digital pathology slides and integrate genomic data, US.
- 2023. Artificial Intelligence to Surpass Radiomics with Multi-Platform Integration for Precision Oncology. Conference. Artificial Intelligence to Surpass Radiomics with Multi-Platform Integration for Precision Oncology, US.
- 2022. Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence. Conference. Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence. New Orleans, LA, US.
- 2022. Integrated Imaging and Molecular Analysis to Decipher Tumor Microenvironment in the Era of Immunotherapy. Conference. The 2nd MD Anderson Cancer Center and ShangHai Concord Cancer Center Annual International Academic Meeting, US.
- 2022. Proliferation Center-Focused Artificial Intelligence Algorithm Enhances Detection of Accelerated Phase Chronic Lymphocytic Leukemia. Conference. Proliferation Center-Focused Artificial Intelligence Algorithm Enhances Detection of Accelerated Phase Chronic Lymphocytic Leukemia. Los Angeles, CA, US.
- 2021. Artificial Intelligence-Assisted Mapping of Proliferation Centers in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Identifies Patterns That Reliably Distinguish Accelerated Phase and Large Cell Transformation. Conference. Artificial Intelligence-Assisted Mapping of Proliferation Centers in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Identifies Patterns That Reliably Distinguish Accelerated Phase and Large Cell Transformation. Atlanta, GA, US.
- 2021. Machine Learning Pipeline with Feature Engineering Provides Robust Diagnostic Predictions in Chronic Lymphocytic Leukemia, Accelerated and Transformed Phases. Conference. Machine Learning Pipeline with Feature Engineering Provides Robust Diagnostic Predictions in Chronic Lymphocytic Leukemia, Accelerated and Transformed Phases. Atlanta, GA, US.
- 2021. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Habitat Imaging, Virtual Symposium and Scientific Meeting. Conference. Virtual Symposium and Scientific Meeting, US.
- 2018. Quantitative DCE-MRI Features Can Complement Molecular Markers for Predicting Tumor Infiltrating Lymphocytes in Breast Cancer: Model Discovery and Independent Validation. Conference. Quantitative DCE-MRI Features Can Complement Molecular Markers for Predicting Tumor Infiltrating Lymphocytes in Breast Cancer: Model Discovery and Independent Validation. Chicago, IL, US.
- 2016. Intratumor Partitioning of Serial CT and FDG-PET Images Identifies High-risk Tumor Subregions and Predicts Patterns of Failure in Non-small Cell Lung Cancer After Radiotherapy. Conference. Intratumor Partitioning of Serial CT and FDG-PET Images Identifies High-risk Tumor Subregions and Predicts Patterns of Failure in Non-small Cell Lung Cancer After Radiotherapy. Boston, MA, US.
- 2015. Tumor Heterogeneity Patterns of DCE-MRI Parametric Response Maps May Augment Early Assessment of Neoadjuvant Chemotherapy: A Pilot Study of ACRIN 6657/I-SPY 1. Conference. Tumor Heterogeneity Patterns of DCE-MRI Parametric Response Maps May Augment Early Assessment of Neoadjuvant Chemotherapy: A Pilot Study of ACRIN 6657/I-SPY 1. Chicago, IL, US.
- 2014. A Feasibility Study Investigating the Use of Quantitative Measures of Spatio-temporal Tumor Heterogeneity Derived from 4D Breast Page 4 of 6 DCE-MRI Registration as a Biomarker of Response to Neoadjuvant Chemotherapy. Conference. A Feasibility Study Investigating the Use of Quantitative Measures of Spatio-temporal Tumor Heterogeneity Derived from 4D Breast Page 4 of 6 DCE-MRI Registration as a Biomarker of Response to Neoadjuvant Chemotherapy. Austin, TX, US.
- 2014. A feasibility study on kinematic feature extraction from the human interventricular septum toward hypertension classification. Conference. A feasibility study on kinematic feature extraction from the human interventricular septum toward hypertension classification. Pittsburgh, PA, US.
- 2013. An Investigation of Shape Analysis Methods for Assessment of Organ-Level Functional Changes in the Human Right Ventricle. Conference. An Investigation of Shape Analysis Methods for Assessment of Organ-Level Functional Changes in the Human Right Ventricle. Raleigh, NC, US.
- 2011. Geometric Analysis and Decomposition of Normal and Hypertensive Human Right Ventricle from Diagnostic Medical Imaging. Conference. Geometric Analysis and Decomposition of Normal and Hypertensive Human Right Ventricle from Diagnostic Medical Imaging. Pittsburgh, PA, US.
Formal Peers
- 2022. AI Bridge Radiology and Pathology. Invited. AI Bridge Radiology and Pathology, US.
- 2021. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Invited. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Austin, TX, US.
- 2020. Habitat Imaging for COVID-19: Discover Clinically Relevant and Actionable Biomarkers. Invited. Habitat Imaging for COVID-19: Discover Clinically Relevant and Actionable Biomarkers, US.
- 2019. Empower Radiology with Artificial Intelligence: Discover Clinically Relevant and Actionable Imaging Markers. Invited. Empower Radiology with Artificial Intelligence: Discover Clinically Relevant and Actionable Imaging Markers. Stanford, CA, US.
- 2019. Artificial Intelligence in Radiology: Discover Clinically Relevant & Actionable Imaging Markers, Department of Radiology. Invited. Artificial Intelligence in Radiology: Discover Clinically Relevant & Actionable Imaging Markers, Department of Radiology. New York, NY, US.
- 2019. Discover Clinically Relevant and Actionable Imaging Markers with Artificial Intelligence, Radiology Research Grand Round. Invited. Discover Clinically Relevant and Actionable Imaging Markers with Artificial Intelligence, Radiology Research Grand Round. Los Angeles, CA, US.
- 2018. Artificial Intelligence in Medical Imaging: Converting Pictures into Clinically Useful Information for Precision Medicine. Invited. Artificial Intelligence in Medical Imaging: Converting Pictures into Clinically Useful Information for Precision Medicine. Atlanta, GA, US.
- 2018. Artificial Intelligence in Radiology: Discover Clinically Relevant and Actionable Imaging Markers in Precision Oncology. Invited. Artificial Intelligence in Radiology: Discover Clinically Relevant and Actionable Imaging Markers in Precision Oncology. New York City, NY, US.
- 2018. Unraveling Tumor Heterogeneity Using Artificial Intelligence: Radiomics, Radiogenomics and Habitat Imaging, Center for Biomedical Informatics. Invited. Unraveling Tumor Heterogeneity Using Artificial Intelligence: Radiomics, Radiogenomics and Habitat Imaging, Center for Biomedical Informatics. Winston-Salem, NC, US.
- 2018. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Artificial Intelligence. Invited. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Artificial Intelligence. New York City, NY, US.
- 2017. Radiomic and Radiogenomic Analysis for Clinically Relevant Imaging Biomarkers in Precision Oncology, Radiology Grand Rounds & Translational Research Seminar. Invited. Radiomic and Radiogenomic Analysis for Clinically Relevant Imaging Biomarkers in Precision Oncology, Radiology Grand Rounds & Translational Research Seminar. Danville, PA, US.
- 2013. Computational Statistical Shape Analysis of Medical Images for Hypertension Classification. Invited. Computational Statistical Shape Analysis of Medical Images for Hypertension Classification. Saint Louis, MO, US.
Patient Reviews
CV information above last modified February 14, 2025