About Me

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.

Research Interests

My research interests primarily include large-scale inference, combinatorial inference, choice model asymptotics, operations research theories, applied probability, and distributed computing.

Selected Awards

• 2023 ASA SLDS Student Paper Award
• 2022 WNAR Best Student Paper Award
• 2022 ICSA Junior Research Award
• 2022 ICSA Student Paper Award
• 2022 NESS Student Research Award
• 2020 Robert B. Reed Prize for Excellence in Biostatistical Science, Harvard University
• 2012 1st Prize (Provincial), National High School Math League

Publications and Preprints

Statistical Methodology and Theory

1. 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]

2. 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]

3. Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu. Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models. Invited revision at Operations Research (abstract at EC'23), 2025+. [SSRN]

4. 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, accepted, 2025+. [arXiv]

5. Alexandre Belloni*, Ethan X. Fang*, Shuting Shen*. Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors. Invited revision at Bernoulli, 2025+.[arXiv]

6. 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, 2025+.

7. Shuting Shen, Tony Chen, Junwei Lu, Xihong Lin. Fast Representation Learning and Variable Selection for Vertically Distributed Data. Manuscript available upon request, 2025+.

Application

1. 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]

2. 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]

3. 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]

4. 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]

Services

Journal Reviewers

• Operations Research
• INFORMS Journal on Computing