Biography
I am a postdoctoral research fellow in the Division of Biostatistics, Department of Population Health, at New York University Grossman School of Medicine, working with Dr. Thaddeus Tarpey and Dr. Hyung G. Park. My research interests include functional data analysis, tensor modeling, and robust statistics. I am particularly interested in developing statistical tools for the analysis of neuroimaging data. I received my PhD in Statistics from University of British Columbia, where I was advised by Dr. Matías Salibián-Barrera.
- Functional Data Analysis
- Tensor Modeling
- Robust Statistics
- Bayesian Methods
- Neuroimaging
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PhD in Statistics, 2022
University of British Columbia
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MS in Statistics, 2015
University of Michigan-Ann Arbor
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BSc in Statistics, 2013
Renmin University of China
Experience
- Worked on PhD thesis titled “Boosting for regression problems with complex data” under the supervision of Matías Salibián-Barrera. Developed gradient boosting algorithms for inhomogeneous data, functional data, and a combination of both.
- Worked on the summer research project “High-dimensional regression with instrumental variables”. Extended two-stage regression with instrumental variables to high dimensional data and examined the performance of post-LASSO with SNP data for phenotype prediction.
- Teaching assistant:
— labs for STAT 200, STAT 251, STAT 344 in the Department of Statistics
— labs DSCI 571, DSCI 513 for Master of Data Science
— tutorials for CPSC 540 in the Department of Computer Science.
- Developed deep learning methods to screen molecules for drug discovery; fitted graph convolutional networks (referring to Deepchem) to predict docking scores with molecular data provided by Vancouver Prostate Center.
- Explored the use of active learning to select the molecules to be docked for regression and classification tasks.
- Served on the managing team from Sep 2017; managed consulting requests and facilitated discussion meetings
- Selected projects: Mental health and electronic health record (Dr. Erica Frank, UBC). Beggiatoa modelling at aquaculture sites in British Columbia (Mainstream Biological Consulting Inc)
- Developed a two-way survival model to predict the renewal rate of car lease contracts, modeling the seasonal effect, lifetime effect, and time-varying covariates.
Publications
Submitted
Hyung G. Park, George Kenefati, Mika M. Rockholt, Xiaomeng Ju, Rachel R. Wu, Zhen Sage Chen, Tamas A. Gonda, Jing Wang, Lisa V. Doan. Low Frequency Oscillations in the Medial Orbitofrontal Cortex Mediate Widespread Hyperalgesia Across Pain Conditions (2025).
Hanchao_Zhang, Xiaomeng Ju, Baoyi Shi, Lingsong Meng, Thaddeus Tarpey. K-Tensors: Clustering Symmetric Positive Definite Matrices (2025).
In progress
Xiaomeng Ju, Hyung G Park, Thaddeus Tarpey. Bayesian Mixed-Effects Modeling for Multilevel Two-way Functional Data: Applications to EEG Experiments (2025).
- Results presented at Eastern North American Region (ENAR) 2025, Statistical Methods in Imaging Conference 2025
Xiaomeng Ju, Matías Salibián-Barrera. RTFBoost: robust tree-based functional boosting (2025).
- Results presented at Western North American Region (WNAR) 2025.