Shuangjie Zhang | UC Santa Cruz

Welcome! I am currenly a Ph.D. candidate in Statistics surpervised by Juhee Lee at University of California Santa Cruz (expected graduation 2024). Before joining UCSC, I completed my Master degree in Statistical Science at Duke University advised by Surya T. Tokdar. I’m currently working on

Bayesian high-dimensional modeling
Bayesian nonparametric
Applciation to Multivariate count table from microbiome study and ecological study

Curriculum Vitae

PREPRINTS

Zhang, S., Lee, J. Bayesian Covariate dependent Factor Model for Feature Interactions in Microbiome Study (In progress)
Zheng, H., Zhang, S., Sen R., and Tokdar S. Bayesian Density Regression with Discontinuity (In progress)
Zhang, S., Shen Y., Chen I. and Lee, J. (2023+) Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data (Under revision of Journal of the American Statistical Association)

PUBLICATIONS

Zhang, S., Shen Y., Chen I. and Lee, J. Bayesian Modeling of Interaction between Features in Sparse Multivariate Count Data with Application to Microbiome Study (The Annals of Applied Statistics 17.3 (2023): 1861-1883.)

PRESENTATIONS

2024 Joint Statistical Meetings, Oregon, US, 2024
2023 Joint Statistical Meetings, Toronto, Canada, 2023
Objective Bayes, Santa Cruz, CA, 2022

SOFTWARE

Sp-BGFM: R package (in preparation) for Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data.
Zi-MLN: R code for Zero Inflated Multivariate rounded Log Normal Model in paper Bayesian Modeling of Interaction between Features in Sparse Multivariate Count Data with Application to Microbiome Study.

AWARD & FELLOWSHIP

SFASA JSM Student Travel Award, San Francisco Bay Area Chapter of the American Statistical Association, 2023
UCSC Dean’s Travel Award, University of California Santa Cruz, 2023
Department Summer Fellowship, University of California Santa Cruz, 2022
UCSC Regent Fellowship, University of California Santa Cruz, 2020
National Student Scholarship, Southwestern University of Finance and Economics, 2015

TEACHING EXPERIENCE

Graduate Teaching Assistant:

STA601 Bayesian Methods and Modern Statistics – Duke University – Fall 2018
STAT 5 Statistics – UCSC – Fall 2019, Winter 2020, Summer 2020-01, Fall 2021, Spring 2022,Summer 2022-01
STAT 131 Introduction to Probability Theory – UCSC – Summer 2022-02, Spring 2023
STAT 132 Classical and Bayesian Inference – UCSC – Winter 2023

CONTRIBUTIONS TO SCIENTIFIC COMMUNITY

Invited reviewer for an article submitted to Computational Statistics & Data Analysis. 2022
Professional membership for the International Society for Bayesian Analysis (ISBA) and American Statistical Association (ASA)