Academic institutes and organizations

36. "When statistics meets AI: Bayesian modeling of spatial biomedical data," Florence Center for Data Science, University of Florence, Florence, Italy, 2023

35. Bayesian methods for spatially resolved transcriptomics data analysis," BIG Group Webinar, Emory University, 2023

34. "When statistics meets AI: Bayesian modeling of spatial biomedical data," Department of Statistics, The Chinese University of Hong Kong, Hong Kong, 2023

33. "When statistics meets AI: Bayesian modeling of spatial biomedical data," School of Mathematical Sciences, Xiamen University, Xiamen, China, 2023

32. "Bayesian methods for spatially resolved transcriptomics data analysis," American Statistical Association Sections on Statistics in Genomics and Genetics (ASA SSGG) Webinar, 2023

31. "When statistics meets AI: The study of microbiome data and AI-reconstructed medical images," University of Georgia, Athens, Georgia, 2022

30. "Bayesian modeling of spatially resolved transcriptomics data," Center for Computational and Quantitative Genetics, Emory University, Atlanta, Georgia, 2022

29. "Bayesian modeling of metagenomic sequencing data," Department of Statistics, Northwestern University, online, 2020

28. "A brief introduction to COVID-19 forecasting," The Coronavirus Visualization Team, Scholars at Harvard, online, 2020

27. "Spatial modeling of spatial molecular profiling data," Center for Systems Biology, The University of Texas at Dallas, Richardson, Texas, 2020

26. "Bayesian modeling of metagenomic sequencing data," Center for Systems Biology, The University of Texas at Dallas, Richardson, Texas, 2020

25. “Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images,” Department of Epidemiology and Biostatistics, Texas A&M University, College Station, Texas, 2019

24. “Bayesian modeling of high-dimensional count data and its application on the analysis of microbiome data,” Department of Biostatistics, The University of Texas at Dallas MD Anderson Cancer Center, Houston, Texas, 2019

23. “Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images,” Department of Biostatistics, The University of Texas at Dallas MD Anderson Cancer Center, Houston, Texas, 2019

22. “Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images,” Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, Texas, 2019

21. “Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images,” Cecil H. and Ida Green Comprehensive Center for Molecular, Computational, and Systems Biology, The University of Texas Southwestern Medical Center, Dallas, Texas, 2018

20. "Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images," Department of Statistical Science, Southern Methodist University, Dallas, Texas, 2018 

19. "Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images," Institute for Insight, Georgia State University, Atlanta, Georgia, 2018 

Conferences

18. "AI-powered statistical methods for pathology image analysis," The Second UT Dallas/UT Southwestern Annual Workshop on Imaging and Data Science, Richardson, Texas, 2023

17. "AI-powered Bayesian methods for spatial transcriptomics data analysis," The Sixth Annual Bioinformatics Symposium, Texas A&M University, College Station, Texas, 2023

16. "When statistics meets AI: The study of AI-reconstructed tumor pathology images using Bayesian approaches," The 64th World Statistics Congress (WSC 2023), Ottawa, Canada

15. "Bayesian modeling of spatially resolved transcriptomics data," The 12th International Chinese Statistical Association International Conference (ICSA Intl. 2023), Hong Kong

14. "Integrating image and molecular profiles for clustering spatial transcriptomics data," 2023 International Chinese Statistical Association (ICSA 2023) Applied Statistics Symposium, Ann Arbor, Michigan

13. "When statistics meets AI: The study of spatial biological data," Spatial Biology US 2023, Boston, Massachusetts

12. "Bayesian modeling of microbiome data," UT Dallas/UT Southwestern Joint Urinary Tract Infections (UTI) Symposium, Richardson, Texas, 2023

11. "Bayesian methods for spatially resolved transcriptomics data analysis," Conference on Advance in Data Science: Theory, Methods, and Computation, College Station, Texas, 2022

10. "Bayesian modeling of spatial molecular profiling data," 2022 Joint Statistical Meetings (JSM 2022), Washington, D.C.

9. "A Bayesian variable selection framework for differential abundance analysis of microbiome count data," 2021 East Asia Chapter - International Society for Bayesian Analysis (EAC-ISBA 2021), online

8. "Bayesian modeling of spatial molecular profiling data," The 34th New England Statistics Symposium (NESS 2021), online

7. "Bayesian modeling of spatial molecular profiling data," 2021 International Chinese Statistical Association (ICSA 2021) Applied Statistics Symposium, online

6. "Bayesian modeling of metagenomic sequencing data for differential abundance analysis," 2021 Joint Statistical Meetings (JSM 2021), online

5. "Recent advances in Bayesian methods for the analysis of tumor pathology images," 2020 International Chinese Statistical Association (ICSA 2020) Applied Statistics Symposium, online

4. "A brief introduction to COVID-19 forecasting," 2020 Chinese Institute of Engineering/USA Dallas- Fort Worth Chapter Annual Convention (2020 CIE/USA-DFW), online

3. "Bayesian modeling of spatial point patterns and its application on the analysis of tumor pathology images," 2019 Statistical Methods in Imaging (SMI 2019), Irvine, California

2. "A Bayesian hidden Potts mixture model for analyzing lung cancer pathological images," 2018 Eastern North American Region Spring Meetings (ENAR 2018), Atlanta, Georgia

1. "Bayesian models of high-dimensional count data," 2016 Eastern North American Region Spring Meetings (ENAR 2016), Austin, Texas