Yuehua Cui,
Ph.D.
Professor
C-432 Wells Hall
619 Red Cedar Rd.
Department of Statistics and Probability
Michigan State University
East Lansing, MI 48824
Phone: (517) 432-7098
Fax: (517) 432-1405
E-mail: cuiy@msu.edu
Education
- Ph.D. (2005) Statistics, Department of Statistics, University of Florida
- M.Stat. (2002) Statistics,
Department of Statistics, University of Florida
- M.S. (1998) Plant Biology, China Agricultural University, Beijing,
China
- B.S. (1995) Agronomy, Shanxi Agricultural University, Taigu, China
Academic Appointment
- Professor 2015
– pres, Department
of Statistics & Probability, Michigan State University
- Associate
Professor 2010 – 2015, Department
of Statistics & Probability, Michigan State University
- Assistant
Professor 2005
– 2010, Department of Statistics & Probability, Michigan State
University
- Research
Scientist 1998
– 2000, Institute of Botany, Chinese Academy of Sciences
Research Interests
- Statistical genetics:
genetic association study, (e)QTL mapping, gene-gene and gene-environment
interactions, Mendelian randomization, high-dimensional mediation analysis
- Statistical genomics: scRNA-Seq and spatial transcriptomics, gene network
inference
- Longitudinal data
analysis; functional data analysis; mixture model
- Statistical applications
in biological sciences
Selected Editorial Services
·
Senior Editorial
Board: BMC Genomic Data (2021-)
·
Associate Editor:
-
Computational and
Structural Biotechnology Journal (2023-)
-
Frontiers in Systems Biology - Integrative Genetics and
Genomics (2021-)
-
Statistics and Probability Letters (2015-)
-
BMC Genetics (2010-2016)
·
Deputy Section
Editor:
BMC Genetics, Section on Statistical
and Computational Genetics (2016-2020)
·
Editorial Board
Member:
-
Journal of
Computational Systems Biology (2014-)
-
Computational and
Structural Biotechnology Journal (2021-2023)
-
The Scientific
World Journal,
Computational Biology Domain (2011-2017)
-
Recent Patents on Biotechnology (2010-2014)
Selected Funded Research Grants
- PI (with P-S. Zhong, K.
Klump and A. Burt), 05/19-04/22, NIH R21 HG010073.
- Co-PI (with J. Wang and
E. Andrechek), 09/18-05/23, NIH 1R01GM131398.
- Co-PI (with C.R. Robin,
J. Jiang, D. Douches and R. Veilleux), 10/12-09/17, NSF (IOS-1237969)
- PI (with P-S. Zhong),
06/12-06/16, NSF DMS-1209112
- Co-PI (with N. Jiang, C.R.
Buell and J. Jiang), 09/11-09/16, NSF (MCB-1121650)
- Sole-PI, 01/10-10/10,
NIH subcontract
- Sole-PI, 06/07-05/11,
National Science Foundation, DMS-0707031
- Sole-PI, 12/06-12/08,
MSU Intramural Research Grant (06-IRGP-789)
Honors and Awards
- Elected Fellow, American
Statistical Association (ASA), 2022
- Elected member,
International Statistics Institute (ISI), 2010
- Sigma Xi full
membership, The Scientific Research Society, 2008-
- Junior Faculty Award,
Michigan State University Chapter of Sigma Xi Honorary Scientific Society,
2008
- William L. Harkness
Instructional Innovation Award, Department of Statistics and Probability,
Michigan State University, 2007
- Mu Sigma Rho membership,
Statistics Honor Society, 2003
Selected
Publications
- Ma, S.J., L.J. Yang, R. Romero,
and Y.H. Cui*. (2011) Varying
coefficient model for gene-environment interaction: a non-linear look. Bioinformatics 27(15): 2119-2126.
- Li, S.Y. and Y.H. Cui*. (2012) Gene-centric
gene-gene interaction: a model-based kernel machine method. Annals of Applied Statistics 6(3):
1134-1161.
- Gao, B. and Y.H. Cui*. (2015) Learning
directed graphical structures with genetical genomics data. Bioinformatics
31(24): 3953-60.
·
Liu, X., Y.H. Cui* and R. Li. (2016) Partial linear varying multi-index
coefficient model for integrative gene-environment interactions. Statistica Sinica 26: 1037-1060.
- Gao, B., X. Liu, H. Li and Y.H. Cui*. (2019) Integrative
analysis of genetical genomics data incorporating network structures. Biometrics 75(4): 1063-1075.
- Fang,
R., H. Yang, Y. Gao, H. Cao, E.L. Goode and Y.H. Cui*. (2021)
Gene-based mediation analysis in epigenetic studies. Briefings in
Bioinformatics 22(3): bbaa113.
- Wei,
Y-F., X. Zhao, L. Li, H. Yang, H. Cao* and Y.H. Cui*. (2023) Cancer
subtyping with multi-omics data via multi-kernel learning. Briefings in
Bioinformatics 24 (1), bbac488.
·
Shi, R., L. Wang, S. Burgess and Y.H. Cui*.
(2024) MR-SPLIT: a novel method to address selection and weak instrument bias
in one-sample Mendelian randomization studies. PloS
Genetics 20: e1011391.
·
Su, H., Y. Wu, B. Chen, Y.H. Cui*.
(2025) STANCE: a unified statistical model to detect cell-type-specific
spatially variable genes in spatial transcriptomics. Nature Communications
16(1): 1793.
Research Highlight
- Our work on Gene-centric
genetic association study (Cui et al. 2008, Genetics) was
highlighted in Nature
Reviews Genetics Vol. 9 No. 6 (2008).