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.
To me, data science is a challenge-oriented field. I am interested in discovering research challenges and leveraging cutting-edge technologies or developing new methods to solve real-world problems. I am currently focusing on healthcare-related challenges, especially in transferring data into knowledge and the generalization of health informatics approaches. Meanwhile, I am open to exploring other areas that could be improved from a data perspective.
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:
- Associate Director, Data Science Core, Mississippi INBRE (NIH IDeA)
Professional Summary:
Grants (Internal & External):
| 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 | 2 | 1 | 1 | 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