Qing Lu,
Professor
Department:
PHHP-COM BIOSTATISTICS
Business Phone:
(352) 294-5928
Business Email:
lucienq@phhp.ufl.edu
About Qing Lu
Dr. Lu’s research interests are primarily in statistical genetics and statistical/machine learning. One area of research is to develop statistical/machine learning methods (e.g., tree and deep learning) for high-dimensional data analyses (e.g., genetic data analysis). In parallel with statistical/machine learning research, he is also interested in developing and applying new statistical methods (e.g., U-statistics). In addition to developing new methods, he collaborates with other researchers to investigate various biomedical and public health research questions.
Related Links:
Accomplishments
Outstanding Teacher Award
2022
·
Department of Biostatistics, University of Florida
Academic Competitiveness Award
2014
·
College of Human Medicine, Michigan State University
Teaching Profile
Courses Taught
2020-2024
PHC7979 Advanced Research
2020-2021
PHC6917 Supervised Research Project
2020
PHC6059 Introduction to Applied Survival Analysis
2020-2022
PHC6937 Special Topics in Public Health
2021-2022
PHC6905 Independent Study
2022-2024
PHC6097 Statistical Learning with Applications in Health Sciences
2022-2024
PHC7980 Research for Doctoral Dissertation
Research Profile
Open Researcher and Contributor ID (ORCID)
0000-0002-7943-966X
Areas of Interest
- Machine Learning
- Statistical Genetics
Publications
2024
Functional Neural Networks for High-Dimensional Genetic Data Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics.
21(3):383-393
[DOI] 10.1109/tcbb.2024.3364614.
2024
Metabolomic signatures of carfilzomib‐related cardiotoxicity in patients with multiple myeloma
Clinical and Translational Science.
17(5)
[DOI] 10.1111/cts.13828.
[PMID] 38783568.
2023
APOE4, Age, and Sex Regulate Respiratory Plasticity Elicited by Acute Intermittent Hypercapnic-Hypoxia
Function.
4(5)
[DOI] 10.1093/function/zqad026.
[PMID] 37575478.
2023
Asymptotic properties of neural network sieve estimators
Journal of Nonparametric Statistics.
35(4):839-868
[DOI] 10.1080/10485252.2023.2209218.
[PMID] 38169985.
2022
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity
Statistics in Medicine.
41(3):517-542
[DOI] 10.1002/sim.9257.
[PMID] 34811777.
2022
Expectile Neural Networks for Genetic Data Analysis of Complex Diseases
IEEE/ACM Transactions on Computational Biology and Bioinformatics.
1-1
[DOI] 10.1109/tcbb.2022.3146795.
2022
Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data
PLOS Computational Biology.
18(7)
[DOI] 10.1371/journal.pcbi.1010328.
[PMID] 35839250.
2022
Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
Journal of the American Academy of Child & Adolescent Psychiatry.
61(7):934-945
[DOI] 10.1016/j.jaac.2021.11.035.
[PMID] 35378236.
2022
Neural‐network transformation models for counting processes
Statistical Analysis and Data Mining: The ASA Data Science Journal.
15(3):322-338
[DOI] 10.1002/sam.11564.
2021
A goodness-of-fit test based on neural network sieve estimators
Statistics & Probability Letters.
174
[DOI] 10.1016/j.spl.2021.109100.
2021
Set‐based genetic association and interaction tests for survival outcomes based on weighted V statistics
Genetic Epidemiology.
45(1):46-63
[DOI] 10.1002/gepi.22353.
[PMID] 32896012.
2020
An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes.
Biostatistics (Oxford, England).
[DOI] 10.1093/biostatistics/kxaa049.
[PMID] 33108446.
2017
A generalized association test based on U statistics.
Bioinformatics (Oxford, England).
33(13):1963-1971
[DOI] 10.1093/bioinformatics/btx103.
[PMID] 28334117.
2017
Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior.
JAMA psychiatry.
74(12):1242-1250
[DOI] 10.1001/jamapsychiatry.2017.3069.
[PMID] 28979981.
2017
Miscellanea Dependent generalized functional linear models.
Biometrika.
104(4):987-994
[DOI] 10.1093/biomet/asx044.
[PMID] 29353911.
2014
Modeling and testing for joint association using a genetic random field model.
Biometrics.
70(3):471-9
[DOI] 10.1111/biom.12160.
[PMID] 24628067.
2010
Using the optimal robust receiver operating characteristic (ROC) curve for predictive genetic tests.
Biometrics.
66(2):586-93
[DOI] 10.1111/j.1541-0420.2009.01278.x.
[PMID] 19508241.
2008
Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes.
American journal of human genetics.
82(3):641-51
[DOI] 10.1016/j.ajhg.2007.12.025.
[PMID] 18319073.
Grants
Jun 2024
ACTIVE
Machine learning-based brain aging morphological signatures of chronic musculoskeletal pain
Role: Other
Funding: NATL INST OF HLTH NIA
Sep 2023
ACTIVE
A novel framework for estimating personalized genomic variants of hypertension for precision medicine
Role: Other
Funding: NATL INST OF HLTH NHLBI
May 2023
ACTIVE
Brain lipids and AD
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
Sep 2022
ACTIVE
Genetic Biomarkers of Intermittent Hypoxia-Induced Respiratory Motor Plasticity in Chronic SCI
Role: Co-Investigator
Funding: US ARMY MED RES ACQUISITION
Sep 2022
ACTIVE
Efficient methods for genome-wide survival analysis of early childhood caries
Role: Principal Investigator
Funding: MICHIGAN STATE UNIV
via NATL INST OF HLTH NIDCR
Sep 2022
– Aug 2024
Survival genetics methods for detecting sex-dependent genetic effects on Alzheimers disease
Role: Principal Investigator
Funding: MICHIGAN STATE UNIV
via NATL INST OF HLTH NIA
Sep 2021
– Sep 2023
Toward a Precision Medicine Approach to Medication-Related Osteonecrosis of the Jaw
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDCR
Aug 2021
– Aug 2022
Survival genetics methods for genetic association studies of early childhood caries
Role: Principal Investigator
Funding: MICHIGAN STATE UNIV
via NATL INST OF HLTH NIDCR
Aug 2021
ACTIVE
A Multi-omics evaluation of Carfilzomib-related Cardiotoxicity
Role: Co-Investigator
Funding: NATL INST OF HLTH NHLBI
Jan 2021
– Dec 2022
Artificial Intelligence Research Catalyst Fund
Role: Project Manager
Funding: UF RESEARCH
Jun 2019
– May 2024
Computationally Efficient Statistical Tools for Analyzing Substance Dependence Sequencing Data
Role: Principal Investigator
Funding: NATL INST OF HLTH NIDA
Jun 2019
– Nov 2022
Methods and Software for High-dimensional Risk Prediction Research
Role: Principal Investigator
Funding: NATL INST OF HLTH NLM
Education
Statistical Genetics
2008
·
Case Western Reserve University
Statistics
2003
·
University of Florida
Contact Details
Phones:
- Business:
- (352) 294-5928
Emails:
- Business:
- lucienq@phhp.ufl.edu
Addresses:
- Business Mailing:
-
2004 MOWRY RD
DEPARTMENT OF BIOSTATISTICS, UNIVERSITY OF F
GAINESVILLE FL 326112079 - Business Street:
-
2004 MOWRY ROAD, CTRB 5TH FLR.
GAINESVILLE FL 326107450