Chenxin received Donald Ylvisaker Award for the Best Practice of Statistics
Chenxin received UCLA Department of Statistics’ Donald Ylvisaker Award for the Best Practice of Statistics. Congratulations to them!
Changhu Received Chen Hu Endowed Trainee Travel Fund Award
Congratulations to Changhu on receiving the Chen Hu Endowed Trainee Travel Fund Award, which supports trainee participation in scientific conferences and professional development opportunities.
Jessica Recognized as 2026 Fellows of ASA
Congratulations to Jessica on being named 2026 Fellows of the American Statistical Association (ASA). The ASA Fellow designation is one of the association’s highest honors, recognizing outstanding professional contributions, leadership, and commitment to advancing statistical science. Read the official announcement here
Jessica Named to 2026 Class of ISCB Fellows
Jessica has been named to the 2026 Class of ISCB Fellows by the International Society for Computational Biology. This prestigious honor recognizes her exceptional contributions to biostatistics and computational biology, specifically her groundbreaking leadership in developing statistical frameworks for single-cell and spatial omics data. The 2026 Class will be officially recognized this July at the […]
Jessica receives a new NIH R01 grant
Jessica has received a four-year, $2.4M NIH R01 grant from the National Human Genome Research Institute (NHGRI) to develop statistical methods for generating in-silico controls and pseudo-replicates for single-cell and spatial omics studies. The project will offer a practical way to assess result robustness when true biological replicates cannot be obtained and will provide an […]
Jessica Honored with the 2025 Mortimer Spiegelman Award at APHA Annual Meeting
At the 2025 American Public Health Association (APHA) Annual Meeting in Washington, D.C., Jessica delivered the Spiegelman Award Lecture and was recognized with the Mortimer Spiegelman Award. The award is presented annually by the APHA’s Applied Public Health Statistics Section to a statistician under the age of 40 who has made significant contributions to the […]
Pan’s mcRigor paper was published in Nature Communications
Pan Liu developed mcRigor, a statistical method that enhances the rigor of metacell partitioning in single-cell data analysis. mcRigor identifies heterogeneous metacells and optimizes hyperparameters of metacell partitioning methods to ensure reliable downstream analysis. The work was published in Nature Communications. Congratulations!