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Health Outcomes & Biomedical Informatics College of Medicine
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Ruoqi Wei

Ruoqi Wei,

AST SCTST

Department: MD-HOBI-GENERAL
Business Phone: (352) 294-8411
Business Email: ruoqiwei@ufl.edu

About Ruoqi Wei

I hold a Ph.D. in Computer Science (specializing in Machine and Deep Learning, focused on Few-Shot Learning and Representation Learning) and a medical degree. During medical school, I conducted research projects involving Geriatric Medicine. During my postdoctoral fellowship at Harvard Medical School, I collaborated with biomedical scientists and clinicians across various medical specialties, demonstrating data-driven artificial intelligence (AI) research and its effects on mild cognitive impairment and dementia.

My work aims to: 1) Facilitate cost-effective clinical trials using natural language processing (NLP) and computable electronic health record (EHR) phenotyping methods. 2) Advance automated precision medicine from an individual perspective by leveraging clinical big data, including EHRs, time-series data, imaging, and blood-based measures. Using novel machine learning and AI techniques to identify individuals at high risk of disease.

The ultimate goal is to develop therapies that promote healthy aging through translational AI.

Research Profile

Open Researcher and Contributor ID (ORCID)

0000-0002-1771-542X

Publications

2024
Develop and validate a computable phenotype for the identification of Alzheimer’s disease patients using electronic health record data.
Alzheimer's & dementia (Amsterdam, Netherlands). 16(3) [DOI] 10.1002/dad2.12613. [PMID] 38966622.
PubMed · Publisher’s Site
2024
Evolution of digital twins in precision health applications: a scoping review study.
Research square. [DOI] 10.21203/rs.3.rs-4612942/v1. [PMID] 39149471.
PubMed · Publisher’s Site
2024
Linking brain structure, cognition, and sleep: insights from clinical data
SLEEP. 47(2) [DOI] 10.1093/sleep/zsad294. [PMID] 37950486.
5 citations · PubMed · Publisher’s Site
2021
Optimizing Few-Shot Learning Based on Variational Autoencoders
Entropy. 23(11) [DOI] 10.3390/e23111390. [PMID] 34828088.
PubMed · Publisher’s Site
2021
Recent Advances in Variational Autoencoders With Representation Learning for Biomedical Informatics: A Survey
IEEE Access. 9:4939-4956 [DOI] 10.1109/access.2020.3048309.
Publisher’s Site
2020
Variations in Variational Autoencoders – A Comparative Evaluation
IEEE Access. 8:153651-153670 [DOI] 10.1109/access.2020.3018151.
Publisher’s Site

Grants

Oct 2023 ACTIVE
Predicative Modeling of the Prevalence of Non-Small Cell Lung Cancer Biomarkers
Role: Principal Investigator
Funding: RUTGERS STATE UNIV via DAIICHI SANKYO
Feb 2023 ACTIVE
Eligibility criteria design for Alzheimers trials with real-world data and explainable AI
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV via NATL INST OF HLTH NIA

Education

Postdoctoral Fellow
2023 · Harvard Medical School
Ph.D. in Computer Science
2021 · University of Bridgeport
M.S. in Computer Science
2016 · University of Bridgeport
M.S. in Medicine
2012 · Guangxi Medical University

Contact Details

Phones:
Business:
(352) 294-8411
Emails:
Business:
ruoqiwei@ufl.edu
Addresses:
Business Mailing:
PO Box 100147
 Gainesville FL 32610
Business Street:
1889 Museum Rd, Suite 7000
 GAINESVILLE FL 32611