I am an Assistant Professor of Statistics & Data Science at the National University of Singapore. Before joining NUS, I was a postdoctoral fellow at the Fuqua School of Business and the Department of Biostatistics & Bioinformatics at Duke University, jointly supervised by Dr. Alexandre Belloni and Dr. Ethan X. Fang. Prior to my postdoctoral position, I obtained my PhD in Biostatistics from Harvard University in 2023, where I was jointly supervised by Dr. Xihong Lin and Dr. Junwei Lu. I earned a B.A. and a B.S. in Mathematics (dual) from Peking University in 2018.
My research interests primarily include large-scale inference, combinatorial inference, choice model asymptotics, operations research theories, applied probability, and distributed computing.
Shuting Shen, Junwei Lu. Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models. IEEE Transactions on Information Theory, vol. 69, no. 10, pp. 6605-6618 (short version is ICLR 2023 spotlight paper), 2023. [journal]
Shuting Shen, Junwei Lu, Xihong Lin. Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference. Journal of the American Statistical Association, Theory and Methods Section, 1-23, 2025. [journal][arXiv]
Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu. Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models. Minor revision at Operations Research (abstract at EC'23), 2026+. [SSRN]
Zhiwei Xu, Ziming Gan, Doudou Zhou, Shuting Shen, Junwei Lu, Tianxi Cai.Inference of Dependency Knowledge Graph for Electronic Health Records. Journal of the Royal Statistical Society, Series B, Volume 88, Issue 2, Pages 637–656, 2026. [arXiv]
Alexandre Belloni*, Ethan X. Fang*, Shuting Shen*. Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors. Minor revision at Bernoulli, 2026+.[arXiv]
Alexandre Belloni*, Ethan X. Fang*, Yi Han*, Shuting Shen*. Property Testing of Optimal Assortment in Contextual Multinomial Logit Models with Adaptive Sampling. Manuscript available upon request, 2026+.
Shuting Shen, Tony Chen, Junwei Lu, Xihong Lin. Fast Representation Learning and Variable Selection for Vertically Distributed Data. Manuscript available upon request, 2026+.
McCabe, Sean D., E. Adrianne Hammershaimb, David Cheng, Andy Shi, Derek Shyr, Shuting Shen, Lyndsey D. Cole, …, Xihong Lin, Unraveling attributes of COVID-19 vaccine acceptance and uptake in the US: A large nationwide study. Scientific Reports 13, no. 1, pp. 8360, 2023. [journal]
Zorana Ivcevic#, Shuting Shen#, Shengjie Lin, David Cheng, Ryan Probasco, Ben Silbermann, Feng Zhang, Xihong Lin, Marc Brackett. Daily positive and negative affect during the COVID-19 pandemic. Frontiers in Psychology 14, pp. 1239123, 2024. [journal]
Gan, Ziming, Doudou Zhou, Everett Rush, Vidul A. Panickan, Yuk-Lam Ho, George Ostrouchov, Zhiwei Xu, Shuting Shen, …, Tianxi Cai, Junwei Lu. ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis. Journal of Biomedical Informatics, 162, 104761, 2025. [journal]
Shengjie Lin#, Shuting Shen#, Zorana Ivcevic, David Cheng, Ryan Probasco, Ben Silbermann, Feng Zhang, Xihong Lin, Marc Brackett. Effects of an App-Based Brief Gratitude Practice on Positive and Negative Daily Affect During the COVID-19 Pandemic. Acta Psychologica, 260, p.105579, 2025. [journal]