Student Paper Sessions

Schedule of In-Person Sessions

Schedule Session Number Name Email Title Participation Room ID Room
June 2, 8:30AM-10:00AM 1 Yi Liu yliu297@ncsu.edu Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift In-person 7 Whaley
June 2, 8:30AM-10:00AM 1 Shi Bo shibo@bu.edu A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects In-person 7 Whaley
June 2, 8:30AM-10:00AM 1 Chaeyeon Yoo chaeyeon.yoo@uconn.edu Mixture cure models with flexible survival and link functions: Parameter estimation via the EM algorithm In-person 7 Whaley
June 2, 8:30AM-10:00AM 1 Zexiang Li zexiang.li@yale.edu Improving Transportability of Regression Calibration Under the Main/External Validation Study Design In-person 7 Whaley
June 2, 8:30AM-10:00AM 1 Antonio D'Alessandro Antonio.D'alessandro@nyulangone.org Modern causal inference approaches to improve power for subgroup analysis in randomized controlled trials In-person 7 Whaley
June 2, 8:30AM-10:00AM 2 Daniel Suen dsuen@uw.edu MODELING MISSING AT RANDOM NEUROPSYCHOLOGICAL TEST SCORES USING A MIXTURE OF BINOMIAL PRODUCT EXPERTS In-person 8 Church
June 2, 8:30AM-10:00AM 2 Sana Gupta sana.gupta@uconn.edu Adapting Multiple Imputation for Compositional Survey Data In-person 8 Church
June 2, 8:30AM-10:00AM 2 David Moore David.B.Moore@unh.edu Novel Techniques for Designing Experiments and for Analyzing Data In-person 8 Church
June 2, 8:30AM-10:00AM 2 Xinran Miao xinran.miao@wisc.edu Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns? In-person 8 Church
June 2, 8:30AM-10:00AM 2 Min Lin min.2.lin@uconn.edu BIG-SSD: Baseline Design-Initiated and Prior-Guided Sample Size Determination with Historical Data In-person 8 Church
June 2, 1:30PM-3:00PM 3 Shubhangi Ghosh shubhangi.ghosh@columbia.edu Signal-to-noise ratio aware minimax analysis of sparse linear regression In-person 7 Whaley
June 2, 1:30PM-3:00PM 3 Zhenyu Wang zw425@stat.rutgers.edu Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective In-person 7 Whaley
June 2, 1:30PM-3:00PM 3 Wenbo Jing wj2093@stern.nyu.edu Data-Driven Knowledge Transfer in Batch Q^* Learning In-person 7 Whaley
June 2, 1:30PM-3:00PM 3 Parker Knight pknight@g.harvard.edu Fast and robust invariant generalized linear models In-person 7 Whaley
June 2, 1:30PM-3:00PM 3 Chengpiao Huang ch3702@columbia.edu Uncertainty Quantification for LLM-Based Survey Simulations In-person 7 Whaley
June 2, 1:30PM-3:00PM 3 Zhiyu Yan romanyan@g.harvard.edu Communication-Efficient Topic Modeling for Identifying Ischemic Stroke Subtypes from Multi-Institutional Unstructured Clinical Notes In-person 7 Whaley
June 2, 1:30PM-3:00PM 4 Annabelle Carrell University of Cambridge, Havard Low-rank thinning In-person 8 Church
June 2, 1:30PM-3:00PM 4 Yixi Xu xuyix@iu.edu Parsimonious Clustering of Covariance Matrices In-person 8 Church
June 2, 1:30PM-3:00PM 4 Daniel Cunha dcunha@bu.edu Bernstein Polynomial Processes for Continuous Time Change Detection In-person 8 Church
June 2, 1:30PM-3:00PM 4 Xin Yang xin.2.yang@uconn.edu Integrative Learning of Quantum Dot Intensity Fluctuations under Excitation via Tailored Dynamic Mixture Modeling In-person 8 Church
June 2, 4:30PM-6:00PM 4 Yunzhe Qian yqian@hsph.harvard.edu Advanced Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data In-person 8 Church
June 2, 4:30PM-6:00PM 5 Alokesh_Manna alokesh.manna@uconn.edu Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting In-person 7 Whaley
June 2, 4:30PM-6:00PM 5 Yuxuan Wang yxw@bu.edu RePlei: Replication of pleiotropic loci with GWAS summary statistics In-person 7 Whaley
June 2, 4:30PM-6:00PM 5 Onrina Chandra oc152@scarletmail.rutgers.edu Performance Guaranteed Confidence Sets of Ranks In-person 7 Whaley

Schedule of Virtual Sessions

Schedule Session Number Name Email Title Participation
June 3, 9:40AM-11:10AM 6 Anthony Frazier anthony.frazier@colostate.edu Bias Mitigation in Matched Observational Studies with Continuous Treatments: Calipered Non-Bipartite Matching and Bias-Corrected Estimation and Inference Virtual
June 3, 9:40AM-11:10AM 6 Ruoxi Lyu lyrx240@connect.hku.hk Evaluating time-varying and heterogeneous efficacy of COVID-19 antiviral drugs Virtual
June 3, 9:40AM-11:10AM 6 Peijin Wang peijin.wang@duke.edu Innovative Bayesian Dynamic Borrowing Methods for Leveraging Multiple External Controls in Randomized Controlled Trials Virtual
June 3, 9:40AM-11:10AM 6 Elaine Chiu kchiu4@wisc.edu Exact Sensitivity Analysis for Observational Studies of Contingency Tables Virtual
June 3, 9:40AM-11:10AM 6 Jianan Zhu jz4698@nyu.edu Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies Virtual
June 3, 9:40AM-11:10AM 6 Xin Feng xin.feng@utdallas.edu Bridging AI and Bayesian Nonparametric to Infer Layered Cellular Structures from Oral Tissue Pathology Images Virtual
June 3, 1:20PM-2:50PM 7 Dane Isenberg Dane.Isenberg@pennmedicine.upenn.edu A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials Virtual
June 3, 1:20PM-2:50PM 7 Yian Huang huang.yian@columbia.edu Randomized Quasi-Monte Carlo Features for Kernel Approximation Virtual
June 3, 1:20PM-2:50PM 7 Bryn Brakefield Bryn.Brakefield@utdallas.edu BACON: Bayesian Clustering of n-gons Via a Double Truncated Dirichlet Mixture Model Virtual
June 3, 1:20PM-2:50PM 7 Esteban Fernández esteban_fernandez_morales@brown.edu A Bayesian Semiparametric Framework for Cost-Effectiveness Analysis of Sequential Treatments Virtual
June 3, 1:20PM-2:50PM 7 Jiawei Huang huang2jw@mail.uc.edu An “i-Mobility” framework for studying social mobility: individualized inference via generative analysis of discrete data Virtual
June 3, 1:20PM-2:50PM 7 Zizhao Xie zizhao_xie@brown.edu BAYESIAN CAUSAL FOREST FOR THREE ORDERED TREATMENT LEVELS: AN APPLICATION TO NUTRITIONAL EPIDEMIOLOGY Virtual
June 3, 3:00PM-4:30PM 8 Yanghong Guo Yanghong.Guo@utdallas.edu SpaFun: Discovering Domain-specific Spatial Expression Patterns and New Disease-Relevant Genes using Functional Principal Component Analysis Virtual
June 3, 1:20PM-2:50PM 8 Kwangmoon Park kpark243@wisc.edu Systematic Background Selection for Enhanced Contrastive Dimension Reduction Virtual
June 3, 3:00PM-4:30PM 8 Lin Zhong linzhong@smu.edu Systematic investigation of T cell entry regions in the tumor microenvironment Virtual
June 3, 3:00PM-4:30PM 8 Zexi Cai zc2626@cumc.columbia.edu Dynamic System for Modeling Disease Progression with Temporal Registration Virtual
June 3, 3:00PM-4:30PM 8 Xindi Lin xlin268@wisc.edu Efficient estimation of semiparametric spatial point processes with V-fold random thinning Virtual
June 3, 3:00PM-4:30PM 8 Kehe Zhang Kehe.Zhang@uth.tmc.edu Bayesian Heterogeneity Learning for Spatial-Temporal Count Data: An Application to Melanoma Cancer Registry Data in Texas Virtual
June 3, 3:00PM-4:30PM 8 Junu Lee junulee@wharton.upenn.edu Boosting e-BH via conditional calibration Virtual