Welcome to Li Lab at UNC Chapel Hill!
I am an Assistant Professor in the Department of Biostatistics at UNC Gillings School of Global Public Health.
My research interests span across mathematical, statistical, and machine learning theory, methodology, and various real-world applications.
Research Interest
- Dimension reduction
- Gaussian processes
- Geometric data analysis
- Information geometry
- Manifold learning
- Network analysis
- Nonparametric Bayes
- Spatial statistics
Application
- Biological networks
- Brain connectivity
- Electronic Health Record
- Environmental health
- Genetic and genomics
- Images
- Time Series
Email: didongli@unc.edu
News:
Jul 2024: Comments on Contemporary Uses of Machine Learning for Electronic Health Records by Jordan was published on NC Medical Journal
Jun 2024: Talk at ICSA Applied Symposium
May 2024: Paper on design of spatial omic studies accepted by Nature Communication
May 2024: Talk at New England Statistics Symposium
May 2024: Talk at StatGen
May 2024: Talk at U Maryland Math
Mar 2024: Talk at Clemson Statistics
Mar 2024: Jiawen won the MCBIOS Young Scientist Excellence Award
Mar 2024: Jiawen, Michael, Sam and Christine present at ENAR 2024
Feb 2024: Talk at Texas A&M Statistics
Jan 2024: Paper on probablistic contrastive dimension reduction accepted by Annals of Applied Statistics
Dec 2024: Jiawen, Christine and Wancen present at NeurIPS 2023
Nov 2023: Talk at Rice Statistics
Nov 2023: Talk at U Delaware Statistics
Sep 2023: Talk at Emory Biostatistics
Sep 2023: Paper by Jiawen and Wancen on identifiability and interpretability of Gaussian process parameters accepted by NeurIPS2023
Jun 2023: Talk at ICSA Applied Symposium
May 2023: Hong, Christine and Sam won the student travel award at the 2023 Symposium of Data Science and Statistics
Apr 2023: Talk at Broad Institute of MIT and Harvard MIA seminar
Apr 2023: Talk at UNC STOR
Mar 2023: Sam won the best poster award and the student travel award at the Third Annual Workshop on Emerging Data Science Methods for Complex Biomedical and Cyber Data
Mar 2023: Talk at ENAR
Mar 2023: Talk at NCSU Biomath
Mar 2023: Paper on Gaussian process parameter inference on compact Riemannian manifold accepted by Journal of Machine Learning Research
Feb 2023: Talk at Brown Applied Math
Feb 2023: Talk at UNC Greensboro Mathematics and Statistics
Nov 2022: Talk at Duke Computational Biology & Bioinformatics
Nov 2022: Talk at UNC School of Medicine
Nov 2022: Talk at Georgia Tech Math
Oct 2022: Paper on Gaussian process spatial alignment for spatially-resolved genomic and histology slices accepted by Nature Methods.
Oct 2022: Talk at Indiana University Bloomington Statistics.
Oct 2022: Talk at International Conference on Advances in Interdisciplinary Statistics and Combinatorics.
Sept 2022: Paper on modeling on symmetric spaces accepted by SIAM Journal on Mathematics of Data Science.
Aug 2022: Talk at JSM.