Yiwen Liu
- Assistant Professor, Public Health
- Member of the Graduate Faculty
Contact
- (520) 621-2140
- Roy P. Drachman Hall, Rm. 200
- Tucson, AZ 85721
- yiwenliu@arizona.edu
Degrees
- Ph.D. Statistics
- University of Georgia, Athens, Georgia, United States
- Dimension Reduction and Multisource Fusion for Big Data with Applications in Bioinformatics
Work Experience
- Department of Epidemiology and Biostatistics (2022 - Ongoing)
- Department of Epidemiology and Biostatistics (2020 - 2022)
- Department of Mathematics, University of Arizona (2018 - 2020)
Interests
Research
Big data analytics, statistical learning for high-dimensional data, multiple sources data fusion, and bioinformatics.
Courses
2024-25 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2025) -
Healthcare Data Science
BIOS 511 (Fall 2024) -
Honors Thesis
DATA 498H (Fall 2024) -
Introduction to Biostatistics
BIOS 376 (Fall 2024) -
Research
BIOS 900 (Fall 2024)
2022-23 Courses
-
Thesis
BIOS 910 (Spring 2023) -
Healthcare Data Science
BIOS 511 (Fall 2022) -
Healthcare Data Science
EPID 511 (Fall 2022) -
Introduction to Biostatistics
BIOS 376 (Fall 2022) -
Thesis
BIOS 910 (Fall 2022)
2021-22 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2022) -
Health Data Acquisition
BIOS 450 (Fall 2021) -
Health Data Acquisition
BIOS 550 (Fall 2021) -
Health Data Acquisition
EPID 450 (Fall 2021) -
Health Data Acquisition
EPID 550 (Fall 2021) -
Introduction to Biostatistics
BIOS 376 (Fall 2021)
2020-21 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2021) -
Health Data Acquis and Assess
BIOS 450 (Fall 2020) -
Health Data Acquis and Assess
EPID 450 (Fall 2020) -
Introduction to Biostatistics
BIOS 376 (Fall 2020)
2019-20 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2020) -
Health Data Acquis and Assess
EPID 450 (Fall 2019) -
Intro to Applied Linear Models
DATA 467 (Fall 2019) -
Introduction to Biostatistics
BIOS 376 (Fall 2019)
2018-19 Courses
-
Theory of Probability
MATH 464 (Spring 2019) -
First-Semester Calculus
MATH 122B (Fall 2018) -
Functions for Calculus
MATH 122A (Fall 2018)
Scholarly Contributions
Journals/Publications
- Liu, Y., Sun, X., Zhong, W., & Li, B. (2022). B-scaling, a novel nonparametric data fusion method. The Annals of Applied Statistics.
- Sun, X., Liu, Y., Zhong, W., & Li, B. (2022). B-scaling: A novel nonparametric data fusion method. The Annals of Applied Statistics, 16(3). doi:10.1214/21-aoas1537
- Liu, Y., Zhong, W., & Zeng, P. (2021). A Model-free Variable Screening Method Based on Leverage Score. Journal of the American Statistical Association, 1-12. doi:10.1080/01621459.2021.1918554
- Watkins, J. C., Zhou, J., Zhou, H., Liu, Y., & Zhang, M. (2021). A novel non-linear dimension reduction approach to infer population structure for low-coverage sequencing data. BMC Bioinformatics, 22. doi:https://doi.org/10.1186/s12859-021-04265-
- Zhang, M., Liu, Y., Zhou, H., Zhou, J., & Watkins, J. C. (2021). A novel non-linear dimension reduction approach to infer population structure for low-coverage sequencing data. BMC Bioinformatics.
- Zhong, W., Liu, Y., & Zeng, P. (2021). A Model-free Variable Screening Method Based on Leverage Score. Journal of the American Statistical Association.
- Sun, X., Liu, Y., & An, L. (2020). EDGE: Ensemble Dimensionality Reduction and Feature Gene Extraction for Single-cell RNA-seq Data. Nature Communications.
Presentations
- Liu, Y. (2019, May). B-scaling: a novel nonparametric data fusion method. New England Statistics Symposium.
- Liu, Y. (2019, October). Trajectory inference using single-cell transcriptomics data. TRIPODS RWG 6.
- Liu, Y. (2018, Dec). B-scaling: a novel nonparametric data fusion method. International Conference on Big Data and Information Analytics. Houston, TX.
- Liu, Y. (2018, Sep). Statistical leverage and its usage in variable screening. Department seminar, Department of Epidemiology and Biostatistics. Tucson, AZ.
- Liu, Y., Watkins, J., & Encinas, A. (2018, Sep). Sodium Channels Pathologies and Statistical Issues in Pathogenicity Prediction. Quantitative Biology Colloquium. Tucson, AZ: Department of Mathematics.
Others
- Liu, Y. (2018, Jun). Statistical learning for high-dimensional and complex data session chair. ICSA Applied Statistics Symposium.
