We are pleased to inform you that Yulia’s paper titled “ Non-inferiority clinical trials: treating margin as missing information” has been selected as one of the winners of this year’s student paper competition for the Health Policy Statistics Section of ASA.
Award
– Prince Allotey won an honorable mention from Ford Foundation
We are happy to let you know that Prince Allotey received an Honorable Mention for his application for the National Academies of Sciences, Engineering and Medicine’s Ford Foundation Fellowship (2020). He also won one last year, so this is the second year in a row.
Congratulations!
– Katherine Zavez is one of the winners of the Connecticut Institute for the Brain and Cognitive Sciences(IBACS) Graduate Summer Fellowship Competition
We are happy to let you know that Katherine Zavez is one of the winners of the Connecticut Institute for the Brain and Cognitive Sciences(IBACS) Graduate Summer Fellowship Competition.
Congratulations!
– Chaoran Hu has received the 2020 Student Paper Award in the Statistical Computing and Statistical Graphics Sections of the ASA
We are pleased to inform you that Chaoran’s paper on animal movement has been selected as one of the winners of this year’s student paper competition from the Section on Statistical Computing and the Section on Statistical Graphics of ASA. The same paper has also been chosen as honorable mention for 2020 JSM ENVR section student paper competition award.
More info about the Award of ASA can be found at the following links: Click here
Congratulations!
– Xiaojing Wang has been awarded NSF CAREER Award
Xiaojing Wang has been awarded with the National Science Foundation’s CAREER Award with “Advancing Latent Variable Statistical Modeling for the Analysis of Big and Complex Longitudinal Data to Promote Personalized Learning” (September 1 , 2019 – August 31, 2024)
More info about the award can be found at the following links:
https://www.nsf.gov/pubs/2017/nsf17537/nsf17537.htm
– Former Ph.D. student Seongho Song has been promoted to the rank of Full Professor at University of Cincinnati
– Former Ph.D. student, Shariq Mohammed, Receives Scholars Award from the Precision Health at University of Michigan
Former Ph.D. student, Shariq Mohammed, Research Fellow in Computational Medicine and Bioinformatics has received a scholars award from the Precision Health at University of Michigan.
More information about the award can be found here: https://precisionhealth.umich.edu/news-events/features/announcing-2019-scholars-awards-recipients/
– Former Ph.D. student Steven Chiou, has been approved for ISI Elected Membership
Former Ph.D. student Steven Chiou, Assistant Professor at UT-Dallas has been approved for ISI Elected Membership. ISI Elected membership is open to individuals who are established in their careers and have made significant contributions to the statistical profession.
– 2019 ICSA China Conference Junior Researcher Award Presented to Guanyu Hu
Guanyu Hu, a Postdoctoral Research Associate, has been selected as a recipient of the 2019 ICSA China Conference Junior Researcher Awards. The 2019 ICSA China Conference will be held July 1-July 4, 2019 in Tianjin, China (see http://icsa.nankai.edu.cn/ for more details)
– Former student Sudipto Banerjee, Ph.D. (2000), Professor and Chair of Dept. of Biostatistics, UCLA has been awarded the 2019 George W. Snedecor award
Congratulations to our alumnus Sudipto Banerjee (2000, PhD), Professor and Chair, Department of Biostatistics, UCLA Fielding School of Public Health for receiving the 2019 George W. Snedecor award, which was established in 1976 and is one of the prestigious COPSS awards based on the high standards of his paper `Hierarchical nearest-neighbor Gaussian process models for large geostatistical datasets’ (by Datta, A., Banerjee, S., Finley, A.O. and Gelfand, A.E.), as well as the impressive extent to which Sudipto has been instrumental in the development of statistical theory in biometry, in particular, his groundbreaking and fundamental work on Bayesian hierarchical modelling and the analysis of large spatial datasets, and his contributions to the mapping of disease incidence in space and time, and the analysis of environmental exposures.