2018 David P. Byar Young Investigator Award Recipients
The David P. Byar Young Investigator Award is given annually to a new researcher in the Biometrics Section who presents an original manuscript at the Joint Statistical Meetings. The award commemorates David Byar, a renowned biostatistician who made significant contributions to the development and application of statistical methods during his career at the National Cancer Institute. In addition, we give out travel awards to deserving recipients.
We are pleased to announce the following recipients:
David P Byar Young Investigator Award
Irina Gaynanova, Assistant Professor of Statistics at Texas A&M University, PhD from Cornell University, Structural learning & integrative decomposition of multi-view data
Colin Fogarty, Assistant Professor of Operations Research and Statistics at MIT, PhD from University of Pennsylvania, Studentized sensitivity analysis for the sample average treatment effect in paired observational studies
Nicholas Henderson, Postdoctoral research scholar at Johns Hopkins University, PhD from University of Wisconsin-Madison, Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models
Zhiguang Huo, Assistant Professor of Biostatistics at University of Florida, PhD University of Pittsburgh, Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals
Muxuan Liang, PhD Candidate in Statistics at University of Wisconsin-Madison, A semiparametric approach to model effect modification
Daniel Luckett, PhD Candidate in Biostatistics at UNC-Chapel Hill, Estimation and optimization of composite outcomes
Jin Wang, PhD Candidate in Biostatistics at UNC-Chapel Hill, Semiparametric single-index models for optimal treatment regimes with potentially censored outcomes
Yixin Wang, PhD Candidate in Statistics at Columbia University, Minimal approximately balancing weights: asymptotic properties and practical considerations
Brian Williamson, PhD Candidate in Biostatistics at University of Washington, Nonparametric variable importance assessment using machine learning techniques
Julia Wrobel, PhD Candidate in Biostatistics at Columbia University, Registration for exponential family functional data
The ASA Biometrics Section congratulates the award winners and committee members for their hard work.