Dr. Jingyi “Catherine” Shi

Dr. Jingyi (Catherine) Shi

Department / Division

  • Faculty-Statistics

Title

  • Assistant Professor of Statistics

Contact

Email: js5328@msstate.edu
Phone: 662-325-7136

Address

  • Allen Hall 418

Research Interests:

  • Data Science, Health Informatics
  • Predictive Modeling: Supervised Machine Learning, Feature Selection, Applied Statistics
  • Knowledge Extraction and Representation: Semantic Web and Ontology, Applied Natural Language Processing
  • Quantification of Data Quality
  • AI Software and Toolkit Development

Introduction: 

I joined Mississippi State University in 2019 as an Assistant Professor of Statistics following the completion of my doctoral studies.

My research lies at the intersection of statistics, computer science, and healthcare, broadly within the area of health data science. I focus on identifying high-impact, challenge-driven problems and developing innovative methodologies or leveraging advanced computational techniques to address real-world applications.

My current work centers on healthcare data, with an emphasis on transforming complex data into actionable insights and AI-driven solutions, as well as improving the generalizability and robustness of health informatics methods. More broadly, I am interested in advancing data-driven approaches that can be applied across domains where complex data present critical challenges.

Publications:

R Package:

Teaching and Curriculum Development:

  • ST 8114 Statistical Methods
  • ST 4253/6253 Statistical Learning
  • DSCI 6204 Applied Statistical Methods for Data Science
  • DSCI 3012 Data Science Lab – Description, Analysis, and Inference
  • (UNC Charlotte) DSBA/HCIP 6160 Big Data Design, Storage, and Provenance (Database Systems)
  • (MS-INBRE) Machine Learning in Biomedical Sciences
  • (MS-INBRE) Introduction to R

Selected Professional Service:

Professional Summary:

Grants (Internal & External) During Tenure-Track Period:

  PI Subaward PI Co-PI Consultant Under review
Count 2 1 2 3 3

Peer-Reviewed Journal Publications (based on CiteScore quartiles):

  Q1 journals Q2 journals Q3 journals Unranked journals Accepted (in press) Under review
Count 7 5 1 1 2 5

Conference Activities:

  Peer-reviewed papers/abstracts Session chair/co-chair Data Science/AI training presentations
Count 9 3 2

Students:

  Graduate Students (including co-advisor/stat minor advisor) Undergraduate Students (capstone advisor only)
Count 4 3

Courses Developed: MSU - 3; Mississippi INBRE - 2

Courses Taught: MSU - 4; UNC Charlotte - 1

Open-Source Software Packages (R/Python): 2

Degrees:

Ph.D. in Computing and Information Systems - Health Informatics, 2019, The University of North Carolina at Charlotte

M.S. in Mathematical Finance, 2014, The University of North Carolina at Charlotte