Qing Lu

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.

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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
2020-2023
PHC7979 Advanced Research
2020-2021
PHC6917 Supervised Research Project
2020
PHC6059 Introduction to Applied Survival Analysis
2020-2023
PHC6937 Special Topics in Public Health
2021-2023
PHC6905 Independent Study
2022
PHC6097 Statistical Learning with Applications in Health Sciences
2022-2023
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

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.
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.
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

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 2021 ACTIVE
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 ACTIVE
Artificial Intelligence Research Catalyst Fund
Role: Project Manager
Funding: UF RESEARCH
Jun 2019 ACTIVE
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:
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