NESS Student Research Awards 2024

NESS Student Research Awards have a long history. The winners will be selected by the NESS Student Research Awards committee based on the overall quality of the research, and they will be acknowledged at the symposium and will receive a plaque in honor of their accomplishments. Please note that award winners from previous years are not eligible for another award.

Submission information for the 36th New England Statistics Symposium can be found here: https://symposium.nestat.org/awards.html.


Student Research Awards

Year

Sponsor

Award Committee

Recipient(s)

2024 MassMutual Neil Spencer(Chair), Timothy Barry, Jeff Buzas, Luis Carvalho, Roberta DeVito, Alex Franks, Nadeesha Jayaweera, Daeyoung Kim, Rebecca Kurtz-Garcia, Wenrui Li, Fan Li, Yang Liu, Omar Melikechi, Haben Michael, Kendra Plourde, Vladimir Pozdnyakov, Zhao Ren, Adam Sales, Fatima Shafie Khorassani, Yandi Shen, Carlos Soto, Fangfang Wang, Jerzy Wieczorek, Alex Young, Yichi Zhang, Qi Zhang, Qian Zhao, Alessandro Zito . [contact] Kyle Stanley, Yi Zhang, Omar Hagrass, Sofia Vega, Zhoujingpeng Wei, Yiming Li, Yikun Zhang, Blake Hansen, Madhav Sankaranarayanan, Yihan Bao

Sorted by year and student last name

Year

Student

University

Paper Title

2024 Kyle Stanley The Pennsylvania State University Functional Factor Modeling of Brain Connectivity
2024 Yi Zhang Harvard University Individualized Policy Evaluation and Learning under Clustered Network Interference
2024 Omar Hagrass The Pennsylvania State University Minimax Optimal Goodness-of-Fit Testing with Kernel Stein Discrepancy.
2024 Sofia Vega Harvard University Spatio-temporal quasi-experimental methods for rare disease outcomes: The impact of reformulated gasoline on childhood hematologic cancer
2024 Zhoujingpeng Wei University of Wisconsin-Madison Melody: Meta-analysis of Microbiome Association Studies for Discovering Generalizable Microbial Signatures
2024 Yiming Li Columbia University Robust and Efficient Integration of Blockwise Missing and Semi-Supervised Data
2024 Yikun Zhang University of Washington Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
2024 Blake Hansen Brown University Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
2024 Madhav Sankaranarayanan Harvard T.H. Chan School of Public Health A Distribution-free Mixed Integer Optimization Approach to Hierarchical Modelling of Clustered and Longitudinal Data
2024 Yihan Bao Yale University Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting