News and Events

Statistical Genetics and Genomics Learning Group 

The Statistical Genetics and Genomics (SGG) Learning Group  was formed in 2022. The mission of the group is to disseminate and discuss cutting-edge statistical genetics and genomics research at Columbia Mailman School of Public Health and provide opportunities for interdisciplinary collaborations among faculty in the department and the school. The working group brings together faculty, fellows, students, and visitors from related fields, including biostatistics, statistics, computational biology, genetics, engineering, medicine, etc. from inside and outside Columbia, interested in gaining a better understanding of how genomes and genes affect biological functions and how to translate this knowledge to improving human health. The working group meets bi-monthly to discuss the latest progress in the field using work of our group members as well as recent publications, including new statistical and computational methodology, new data resources in genetics and genomics, and new bioengineering technologies.

In addition, regular genomics seminars are being organized with speakers from both inside and outside Columbia. The list of speakers in the 2023 Fall is given below:

SGG Online Seminar Series:

September 13, 2023 (Wednesday) - First seminar
Zhonghua Liu, Columbia University


September 20, 2023 (Wednesday)
Wenpin Hou, Columbia University


October 11, 2023 (Wednesday)
Haoyu Zhang, Earl Stadtman tenure-track investigator, National Cancer Institute


October 18, 2023 (Wednesday)
Xihao Li, Assistant Professor at University of North Carolina, Chapel Hill


November 8, 2023 (Wednesday)
Guanghao Qi, Assistant Professor at University of Washington, Seattle


November 15, 2023 (Wednesday)
Lukas Weber, Assistant Professor at Boston University


November 29, 2023 (Wednesday)
Zhicheng Ji, Assistant Professor at Duke University


December 13, 2023 (Wednesday)
Jin Jin, Assistant Professor at UPenn