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Department of Epidemiology College of Public Health and Health Professions & College of Medicine
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Jinling Liu

Jinling Liu,

Assistant Professor

Department: Department of Epidemiology
Business Phone: (352) 273-5468
Business Email: jinling.liu@ufl.edu
CV: View Curriculum Vitae

About Jinling Liu

Dr. Liu’s Lab is currently recruiting Postdocs and PhD students. Please see the lab website below for details.

Related Links:
Liu Lab

Research Profile

Dr. Jinling Liu is an Assistant Professor in the Department of Epidemiology housed in both College of Public Health and Health Professions and College of Medicine at the University of Florida (UF). Before joining UF, she was a faculty member in the Department of Engineering Management and Systems Engineering (EMSE) and Department of Biological Sciences at Missouri University of Science and Technology (Missouri S&T). Dr. Liu holds a Ph.D degree in Biology from the Pennsylvania State University as well as an MS degree in Biomedical Informatics from the University of Pittsburgh. Dr. Liu also completed a National Library of Medicine Postdoctoral Fellowship in Biomedical Informatics. She has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning.

Dr. Liu’s research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques – one of her projects along these lines has been recently funded by a prestigious NIH Career Development Award for young investigators. One main theme of her research is to infer from the multi-omics data the activation states of signaling pathways and utilize such information in precision medicine. She is committed to advancing precision medicine and improving health equity through her work. She is also collaborating with researchers in other domains for data analytics and decision making.

Liu lab has access to rich high-dimensional multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application. If you are interested in data analytics, artificial intelligence, genetic epidemiology or precision medicine, please see the above Liu Lab website on how to apply. Feel free to direct any questions you may have to Dr. Liu through jinling.liu@ufl.edu.

Open Researcher and Contributor ID (ORCID)

0000-0002-5001-1328

Areas of Interest
  • Aging
  • Cancer
  • Cardiovascular Disease
  • Causal inference
  • Genetic Epidemiology
  • Machine Learning

Publications

2023
A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson’s disease.
Frontiers in genetics. 14 [DOI] 10.3389/fgene.2023.1230579. [PMID] 37842648.
PubMed · Publisher’s Site
2023
An adaptive Physics-based feature engineering approach for Machine Learning-assisted alloy discovery
Computational Materials Science. 226 [DOI] 10.1016/j.commatsci.2023.112248.
Publisher’s Site
2023
An individualized Bayesian method for estimating genomic variants of hypertension.
BMC genomics. 23(Suppl 5) [DOI] 10.1186/s12864-023-09757-9. [PMID] 37936055.
PubMed · Publisher’s Site
2023
Real-time detection and analysis of foodborne pathogens via machine learning based fiber-optic Raman sensor
Measurement. 217 [DOI] 10.1016/j.measurement.2023.113121.
Publisher’s Site
2022
A feasibility study of machine learning-assisted alloy design using wrought aluminum alloys as an example
Computational Materials Science. 215 [DOI] 10.1016/j.commatsci.2022.111783.
Publisher’s Site
2022
A Novel Bayesian Framework Infers Driver Activation States and Reveals Pathway-Oriented Molecular Subtypes in Head and Neck Cancer.
Cancers. 14(19) [DOI] 10.3390/cancers14194825. [PMID] 36230748.
PubMed · Publisher’s Site
2022
Robust and accurate estimation of cellular fraction from tissue omics data via ensemble deconvolution.
Bioinformatics (Oxford, England). 38(11):3004-3010 [DOI] 10.1093/bioinformatics/btac279. [PMID] 35438146.
12 citations · PubMed · Publisher’s Site
2020
Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks.
BMC bioinformatics. 21(Suppl 13) [DOI] 10.1186/s12859-020-03676-2. [PMID] 32938361.
4 citations · PubMed · Publisher’s Site
2020
Immunohistochemistry and RNA In Situ Hybridization in Mouse Brain Development.
Methods in molecular biology (Clifton, N.J.). 2047:475-489 [DOI] 10.1007/978-1-4939-9732-9_27. [PMID] 31552672.
2 citations · PubMed · Publisher’s Site
2019
Deep Contextualized Biomedical Abbreviation Expansion
Proceedings of ACL BioNLP. [DOI] 10.48550/arXiv.1906.03360.
Publisher’s Site
2017
Differential requirements for myeloid leukemia IFN-γ conditioning determine graft-versus-leukemia resistance and sensitivity.
The Journal of clinical investigation. 127(7):2765-2776 [DOI] 10.1172/JCI85736. [PMID] 28604385.
19 citations · PubMed · Publisher’s Site
2015
The loss of Hh responsiveness by a non-ciliary Gli2 variant.
Development (Cambridge, England). 142(9):1651-60 [DOI] 10.1242/dev.119669. [PMID] 25834022.
16 citations · PubMed · Publisher’s Site
2014
Immunohistochemistry and RNA in situ hybridization in mouse brain development.
Methods in molecular biology (Clifton, N.J.). 1082:269-83 [DOI] 10.1007/978-1-62703-655-9_18. [PMID] 24048940.
4 citations · PubMed · Publisher’s Site
2012
Dual function of suppressor of fused in Hh pathway activation and mouse spinal cord patterning.
Developmental biology. 362(2):141-53 [DOI] 10.1016/j.ydbio.2011.11.022. [PMID] 22182519.
30 citations · PubMed · Publisher’s Site

Grants

Sep 2024 ACTIVE
A novel framework for estimating personalized genomic variants of hypertension for precision medicine
Role: Principal Investigator
Funding: NATL INST OF HLTH NHLBI
Sep 2023 ACTIVE
Investigation and deployment of novel Bayesian inference algorithms in CAVATICA for identifying genomic variants underlying congenital heart defects in Down syndrome individuals
Role: Principal Investigator
Funding: NATL INST OF HLTH NHLBI

Education

MS in Biomedical Informatics
2019 · The University of Pittsburgh
PhD in Biology
2014 · The Pennsylvania State University

Contact Details

Phones:
Business:
(352) 273-5468
Emails:
Business:
jinling.liu@ufl.edu
Addresses:
Business Street:
2004 MOWRY RD
 GAINESVILLE FL 32610