Jie Xu

Jie Xu, Ph.D.

Assistant Professor

Department: MD-HOBI-GENERAL
Business Phone: (352) 627-9467
Business Email: xujie@ufl.edu

About Jie Xu

My research interests are focused on the intersection of machine learning and health informatics, with a particular emphasis on disease progression subtyping, predictive modeling, and federated learning techniques. Prior to joining UF, I conducted postdoctoral research at Weill Cornell Medicine, working closely with Dr. Fei Wang and Dr. Jyotishman Pathak. I earned my Ph.D. in Electrical Engineering from Xidian University in 2018, during which I participated in a joint doctoral program at the University of Pittsburgh and the University of Texas at Arlington from 2016 to 2018. I am enthusiastic about continuing my research at UF and contributing to healthcare advancement through innovative machine learning approaches.

Related Links:

Accomplishments

2023 Chinese Young Female Scholars in Artificial Intelligence
2023 · Baidu Talent Program Committee

Teaching Profile

Courses Taught
2022
GMS7858 Causal Artificial Intelligence for Health Research
2023
GMS6806 Security and Privacy for Clinical Research

Research Profile

I have been working on developing novel computational algorithms, including advanced AI methods for analyzing various kinds of healthcare data, including Electronic Health Records (EHRs), medical and pharmacy claims data, and medical imaging data. One research direction that I am pursuing in fundamental AI methods development is patient similarity evaluations, i.e., assessing the clinical similarity between patients based on their medical histories. Such AI-driven approaches can be applied to advance disease surveillance, disease sub-phenotyping, and comparative effectiveness research. I also have strong expertise in predictive modeling, including developing models for various risk predictions, such as mortality, disease onset, and disease state change. Furthermore, I am actively investigating federated learning (FL) techniques, which allow for training an algorithm across multiple decentralized institutions without sharing their data samples. My research has yielded over 30 peer-reviewed publications in both machine learning and health informatics venues, with papers appearing at top-tier artificial intelligence and machine learning conferences such as NeurIPS, AAAI, KDD, IJCAI, at health informatics conferences such as AMIA, as well as at journals such as JHIR, JMIR.

Open Researcher and Contributor ID (ORCID)

0000-0001-5291-5198

Areas of Interest
  • Machine learning and applications

Publications

2024
Quantifying Health Outcome Disparity in Invasive Methicillin-Resistant Staphylococcus aureus Infection using Fairness Algorithms on Real-World Data.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 29:419-432 [PMID] 38160296.
2023
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias.
International journal of medical informatics. 170 [DOI] 10.1016/j.ijmedinf.2022.104973. [PMID] 36577203.
2023
Association of Medicaid expansion with 2-year survival and time to treatment initiation in gastrointestinal cancer patients: A National Cancer Database study.
Journal of surgical oncology. 128(8):1285-1301 [DOI] 10.1002/jso.27456. [PMID] 37781956.
2023
Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods
Informatics. 10(3) [DOI] 10.3390/informatics10030055.
2023
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.
Scientific reports. 13(1) [DOI] 10.1038/s41598-023-35258-6. [PMID] 37208478.
2023
Early prediction of Alzheimer’s disease and related dementias using real‐world electronic health records
Alzheimer's & Dementia. 19(8):3506-3518 [DOI] 10.1002/alz.12967. [PMID] 36815661.
2023
Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer’s Disease Using Electronic Health Records.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2023:764-773 [PMID] 38222396.
2023
Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes
International Journal of Environmental Research and Public Health. 20(5) [DOI] 10.3390/ijerph20054036. [PMID] 36901047.
2023
Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.
Scientific reports. 13(1) [DOI] 10.1038/s41598-023-27856-1. [PMID] 36635438.
2023
Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations.
The Journal of asthma : official journal of the Association for the Care of Asthma. 60(5):1000-1008 [DOI] 10.1080/02770903.2022.2119865. [PMID] 36039465.
2022
Algorithmic fairness in computational medicine
eBioMedicine. 84 [DOI] 10.1016/j.ebiom.2022.104250. [PMID] 36084616.
2022
Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine. 2022:2934-2939 [DOI] 10.1109/bibm55620.2022.9995662. [PMID] 36865610.
2022
Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine
BMJ Open. 12(6) [DOI] 10.1136/bmjopen-2021-059715. [PMID] 35725267.
2021
A (DP)\^{} 2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
IEEE Transactions on Pattern Analysis and Machine Intelligence.
2021
Federated learning for healthcare informatics
Journal of Healthcare Informatics Research. 5(1)
2021
Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: Machine learning approach
JMIR medical informatics. 9(1) [PMID] 33400679.
2020
Data-driven discovery of probable Alzheimer’s disease and related dementia subphenotypes using electronic health records
Learning Health Systems. 4(4) [PMID] 33083543.
2020
Subphenotyping depression using machine learning and electronic health records
Learning health systems. 4(4) [PMID] 33083540.
2020
Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language
Learning Health Systems. 4(4) [PMID] 33083538.

Grants

Sep 2023 ACTIVE
Identifying pediatric asthma subtypes using novel privacy-preserving federated machine learning methods
Role: Principal Investigator
Funding: NATL INST OF HLTH NHLBI
Sep 2023 ACTIVE
Post-Acute Sequelae of SARS-CoV-2 Infection and Subsequent Disease Progression in Individuals with Alzheimer's Disease (AD) and Its Related Dementias (ADRD): Influence of the Social and Environmental Determinants of Health
Role: Co-Investigator
Funding: BRIGHAM AND WOMENS HOSPITAL via NATL INST OF HLTH NIA
Apr 2023 ACTIVE
Artificial Intelligence and Counterfactually Actionable Responses to End HIV (AICARE-HIV)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIAID
Mar 2023 ACTIVE
Utilizing Data from the Electronic Health Record to Understand the Progression Pathway of Alzheimers Disease and Related Dementias
Role: Principal Investigator
Funding: FL DEPT OF HLTH ED ETHEL MOORE ALZHEIMER
Mar 2022 ACTIVE
Clinical Characteristics, including History of MI and Stroke, among US Post-Menopausal Women Initiating Treatment with Romosozumab and Other Anti-Osteroporosis Therapies
Role: Principal Investigator
Funding: BENDCARE
Mar 2022 ACTIVE
Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real-World Data and Biomedical Knowledge
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV via NATL INST OF HLTH NIA
Oct 2021 – May 2023
RESEARCHING COVID TO ENHANCE RECOVERY (RECOVER) INITIATIVE
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV via NATL INST OF HLTH NHLBI

Education

Ph.D.
2018 · Xidian University
M.S.
2015 · Xidian University
B.S.
2012 · Xidian University

Contact Details

Phones:
Business:
(352) 627-9467
Emails:
Business:
xujie@ufl.edu
Addresses:
Business Mailing:
PO Box 100147
GAINESVILLE FL 32610
Business Street:
1889 Museum Rd, Suite 7000
Gainesville FL 32611