Panpan Zhang

Panpan Zhang

Assistant Professor at the Vanderbilt University Medical Center

My personal website

Welcome to Panpan Zhang’s personal website. I am currently an Assistant Professor of Biostatistics (tenure track) in the Department of Biostatistics and an Assistant Professor of Neurology (secondary) in the Department of Neurology at the Vanderbilt University Medical Center (VUMC). Besides, I am a faculty member within the Vanderbilt Memory & Alzheimer’s Center (VMAC), which is also affiliated to VUMC.

Prior to joining VUMC, I was a Postdoctoral Researcher in the Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Perelman School of Medicine, University of Pennsylvania (Penn), under the supervision of Professor Sharon X. Xie. From 2016 to 2018, I was a Visiting Assistant Professor in the Department of Statistics at the University of Connecticut.

My biography

I grew up in Shanghai, China. I received M.A. in Mathematics from Wake Forest University in 2012, and started my doctoral training in the Department of Statistics at the George Washington University in the same year. I got Ph.D. in Statistics in 2016. My dissertation was On Properties of Several Random Networks under the supervision of Professor Hosam M. Mahmoud.

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News

  • Our method paper “On several properties of a class of hybrid recursive trees” will appear in Methodology and Computing in Applied Probability. The paper is in press, and available online (DOI).
  • My invited session proposal has been accepted for WNAR 2023. The session title is “Recent Advances in Statistical Methods for Complex Data Analysis”. There are four well established statisticians presenting their recent works in my invited session; They are Professors Jiashun Jin (CMU), Xiaojing Wang (UConn), Ronghui (Lily) Xu (UCSD) and Xiufan Yu (Notre Dame).
  • My invited session proposal has been accepted for ICSA 2023 Applied Statistics Symposium. The session title is “Statistical and Machine Learning Methods with Applications to Neurodegenerative Diseases”. Four outstanding statisticians and biostatisticians will present their recent research in my invited session; They are Professors Ying Ding (Pitt), Yuan Huang (Yale), Yufeng Liu (UNC Chapel Hill) and Luo Xiao (NCSU).
  • Our algorithm paper “Generating directed networks with predetermined assortativity measures” will appear in Statistics and Computing. The paper is in press, and available online (DOI). This is a joint work with Professor Tiandong Wang (SCMS), Professor Jun Yan (UConn) and Mr. Yelie Yuan (UConn).
  • Our application paper “Incorporating auxiliary information in betweenness measure for input-output networks” is published on Physica A: Statistical Mechanics and its Applications. The online version is available at DOI. This is a joint work with Miss Shiying Xiao (SXUFE) and Professor Jun Yan (UConn).
  • I am going to present “The Sackin index and depth of leaves in generalized Schröder trees” in an invited session at The 4th International Conference on Statistical Distributions and Applications (ICOSDA 2022) in Huntington, WV, USA. This is a joint work with Professor Hosam Mahmoud (GWU).
  • My invited session proposal has been accepted for ENAR 2023 Spring Meeting. The session title is “Recent Advances in Statistical Methods for Neurodegenerative Disease Research”. There are four internationally renowned biostatisticians who will present their recent works in my invited session; They are Professors Rebecca Betensky (NYU), Tanya Garcia (UNC Chapel Hill), Yuanjia Wang (Columbia) and Yongzhao Shao (NYU Langone).

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Acknowledgment

The creation of my personal website is based on the template provided by Professor Stuart Geiger.