Jiangmei (Ruby) Xiong

Bio

Welcome! I am a 5th-year Ph.D. candidate at Vanderbilt University Department of Biostatistics. My main research interests are in:

  • Statistical methods in medical imaging
  • Health informatics

See more work details at the research tab!

I am also the President of the Vanderbilt Biostatistics Grad Student Organization (recognized by the ASA) on campus and the Council for Emerging and New Statisticians (CENS) with ENAR. Besides that, I have been singing in the Vanderbilt Community Chorus for 3 years, performing various music styles from Broadway to Bach.

I anticipate graduating in Spring 2025 and am actively considering post-docs related to biomedical data science research. Feel free to reach out and connect with me via email!

Education

  • Ph.D. in Biostatistics, Vanderbilt University | Nashville, TN
  • M.A. in Statistics, Columbia University | New York, NY
  • Bachelor of Actuarial Studies, Aunstralian National University | Canberra, ACT, Australia

Recent Projects

Selected Publications

GammaGateR: semi-automated marker gating for single-cell multiplexed imaging Xiong, J., Kaur, H., Heiser, C. N., McKinley, E. T., Roland, J. T., Coffey, R. J., Shrubsole, M. J., Wrobel, J., Ma, S., Lau, K. S., & Vandekar, S. Bioinformatics, 40.6 (2024): btae356 https://doi.org/10.1093/bioinformatics/btae356 Press coverage

Digital Surveillance for Monitoring Environmental Health Threats: A Case Study Capturing Public Opinion from Twitter about the 2019 Chennai Water Crisis Xiong, J., Hswen, Y. and Naslund, J.A. International journal of environmental research and public health 17.14 (2020): 5077. https://www.mdpi.com/1660-4601/17/14/5077

R Packages

GammaGateR | Marker-gating tool based off cfGMM. Friendly for large datasets, along with informative interactive diagnostic plots. | 2023
cfGMM | Closed-form Gamma Mixture Model. Makes fitting Gamma Mixture Model so much faster! (than the traditional MLE version) | 2021