NESS Student Research Awards 2022

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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)
2022 MassMutual Xiaojing Wang (Chair), Marco Avella, Xiaohui Chang, Lorin Crawford, Guanyu Hu, Victor Hugo Lachos Davila, Henry Lam, Fan Li, Gen Li, Junwei Lu, Yulong Lu, Shariq Mohammed, Gavino Puggioni, Elizabeth Schanifo, Fangfang Wang, HaiYing Wang, Zheng Wei, Min Xu, Yanxun Xu, Yun Yang, Zhigen Zhao . [contact] Yiqun T. Chen, Siyu Heng, Kuanhao Jiang, Xi Jiang, Chanwoo Lee, Namitha Viona Pais, Shuting Shen, Xiaoqing Tan, Haofeng Zhang, Wenzhuo Zhou

Sorted by year and student last name

Year

Student

University

Paper Title

Advisor
2022 Yiqun T. Chen University of Washington Selective Inference for K-means clustering Daniela Witten
2022 Siyu Heng University of Pennsylvania A Model-Free and Finite-Population-Exact Framework for Randomized Experiments Subject to Outcome Misclassification via Integer Programming Dylan Small
2022 Kuanhao Jiang Harvard University A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond Pragya Sur
2022 Xi Jiang Southern Methodist University A Bayesian Modified Ising Model for Identifying Spatially Variable Genes from Spatial Transcriptomics Data Qiwei Li, Guanghua Xiao
2022 Chanwoo Lee University of Wisconsin-Madison Smooth Tensor Estimation with Unknown Permutations Miaoyan Wang
2022 Namitha Viona Pais University of Connecticut Ensemble Backcasting of Wave Heights in the Long Island Sound Nalini Ravishanker, Sanguthevar Rajasekaran
2022 Shuting Shen Harvard University Fast Distributed Principal Component Analysis of Large-Scale Federated Data Xihong Lin and Junwei Lu
2022 Xiaoqing Tan University of Pittsburgh A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources Lu Tang
2022 Haofeng Zhang Columbia University Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence Henry Lam
2022 Wenzhuo Zhou University of Illinois at Urbana Champaign Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning Ruoqing Zhu and Annie Qu