Huimin Li (李慧敏)

Lecturer I

School of Mathematical and Statistical Sciences
The University of Texas Rio Grande Valley

Office: EMAGC 2.336
Email: huimin.li01@utrgv.edu

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GitHub

LinkedIn

Education

Ph.D. in Data Science and Statistics
The University of Texas at Dallas (UTD), Richardson, Texas, United States
Advisor: Dr. Qiwei Li
Aug 2020 - May 2025
M.S. in Statistics
The University of Texas Rio Grande Valley (UTRGV), Edinburg, Texas, United States
Advisor: Dr. Xiaohui Wang
Jan 2017 - May 2019
Bachelor of Management in Business Administration
Xiangtan University, Xiangtan, Hunan, China
Sep 2009 - Jun 2013

Research Interests

Bayesian statistical methodologies for spatial analysis and high-dimensional data analysis
Application: Spatially resolved transcriptomics
  • Spatial domain detection via spatial clustering
  • Discriminating gene identification via feature selection
  • Cell-type deconvolution
Deep learning for biomedical image analysis (segmentation and classification)
Application: Biomedical images
  • Topology-driven image analysis
  • Uncertainty quantification/estimation

Projects

Robust Bayesian Integrative Modeling of Single Cell and Spatially Resolved Transcriptomics Data
  • Integrating spatially resolved transcriptomics (SRT) data with single-cell RNA sequencing (scRNA-seq) reference data
  • Decomposing cell-type mixtures of regularly distributed spots and identifying the underlying spatial domains simultaneously
  • Capturing cell type sparsity using a zero-inflated Dirichlet distribution
  • Link
Bayesian Clustering Approach with Feature Selection for Analyzing Spatially Resolved Transcriptomics Data
  • Developed Bayesian spatial clustering methods for high-dimensional count data, achieving more robust and accurate results in both simulatd and real datasets
  • Utilized feature selection to identifiy discriminating genes, improving model performance and interpretability
  • Implemented Markov Chain Monte Carlo (MCMC) methods with R and C++
  • Link
Spatial Transcriptomics Arena (STAr): an Integrated Platform for Spatial Transcriptomics Methodology Research
  • Involved in the website design with curated datasets, reproducible methods, and analysis results to facilitate the spatial transcriptomics methodology research
  • Collected datasets, including data retrieval, categorization, organization and pre-processing
  • Selected spatially variable gene identification methods and applied them on simulated and real data
  • Developed and maintained an R package boost as an integrated tool of existing spatially variable gene identification methods
  • bioRxiv
South Texas Early Prevention Study (STEPS) Pre-K Project
  • Designed a cluster randomized trial to assess the effect of the Bienestar coordinated school health program on children’s health outcomes
  • Examined social and health risk factors among preschool children living along the Texas-Mexico border, a region with high poverty and limited access to healthcare
  • Collected family characteristics, dietary intake, fitness, and anthropometric data from 1277 preschool students enrolled in 28 preschools
  • Revealed that children living in low-income areas are affected by high levels of social and health risk factors
  • Link

Teaching Experience

Instructor
The University of Texas Rio Grande Valley, Edinburg, TX
  • CSCI 6364 Introduction to Data Science
  • STAT 2334 Applied Statistics for Health
  • MATH 1342 Elementary Statistical Methods

Graduate Teaching Assistant
The University of Texas at Dallas, Richardson, TX
  • STAT 7330: Bayesian Data Analysis
  • STAT 4355: Applied Linear Models
  • STAT 3341: Probability and Statistics in Computer Science and Software Engineering
  • MATH 2417: Calculus I

Graduate Teaching Assistant
The University of Texas Rio Grande Valley, Edinburg, TX
  • MATH 3337: Probability & Statistics
  • MATH 2413: Calculus I
  • MATH 2414: Calculus II
  • MATH 1343: Introduction to Biostatistics
  • MATH 1314: College Algebra


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