NESS Student Research Awards 2026

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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)
2026	-	Xingche Guo (Chair), Haim Bar, Yuan Bian, Biao Cai, Yuan Chen, Fan Dai, Rui Duan, Somak Dutta, Yinqiu He, Boyi Hu, Yifan Hu, Wei Jin, Victor Hugo Lachos, Fan Li, Haolin Li, Jeffrey Miller, Anarina Murillo, Xiyu Peng, Jiaming Qiu, Mary Lai Salvana, Dongyuan Song, Dingke Tang, Qinglong Tian, Guanyang Wang, Shanghong Xie, Zheng Xu, Cheng Yu, Haihan Yu, Bo Zhang, Yichi Zhang, Qian Zhao, Yi Zhao, Yize Zhao, Yidong Zhou, Ying Zhou, Alessandro Zito . [contact]	Jongwoo Choi, Arindam Roy Chowdhury, Saksham Jain, Richard Liu, Yuying Lu, Souhardya Sengupta, Buxin Su, Jiaqi Tong, Junhui Yang, Munwon Yang

Sorted by year and student last name

Year	Student	University	Paper Title
2026	Jongwoo Choi	University of Connecticut	Robust model selection using likelihood as data
2026	Arindam Roy Chowdhury	Columbia University	Enhancing statistical-computational balance in uncertainty quantification of bagging: a cheap bootstrap approach
2026	Saksham Jain	University of Washington	Conditional distributional treatment effects: doubly robust estimation and testing
2026	Richard Liu	New York University	General targeted machine learning for modern causal mediation analysis
2026	Yuying Lu	Columbia University	ReFIT: Federated transfer learning for sequential prediction and uncertainty quantification using streaming EHR data
2026	Souhardya Sengupta	Harvard University	The l-test: leveraging sparsity in the Gaussian linear model for improved inference
2026	Buxin Su	University of Pennsylvania	On self-training of summary data with genetic applications
2026	Jiaqi Tong	Yale University	Learning heterogeneous treatment effects under principal stratification
2026	Junhui Yang	University of Massachusetts Amherst	Robust and adaptive causal inference under model uncertainty
2026	Munwon Yang	Florida State University	Matrix non-normal graphical model

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