Publications

Current projects

• Inference using online algorithms: My early focus with my advisor, Arun Kuchibhotla, has centered on inference under minimal assumptions in online settings. This work is ongoing and is summarized in “Statistical Inference for Online Algorithms”.
• Neural network ensembles for UQ — topic of dissertation (stay tuned)
• Prediction intervals for streaming time series using prior finite-horizon data — topic of dissertation (stay tuned)

Submitted papers and pre-prints

• (Coming soon) Carter, S., Chen, J. and Schneider, J. “Variance-free Inference of Neural Network Ensembles for Uncertainty Quantification.” NeurIPS 2025 submission.
• (Pre-print) Carter, S. and Kuchibhotla, A. “Statistical Inference for Online Algorithms.” arXiv preprint arXiv:2505.17300v1 (2025).
• (Pre-print) Meyer, M. J., Carter, S., Mordukhovich, I., McNeely, E., Malloy, E. J. “Model Selection in Variational Mixed Effects Models.” arXiv preprint arXiv:2206.04012 (2022).
• (Pre-print) Hersh J., Carter S. “Explainable AI Helps Bridge the AI Skills Gap: Evidence from a Large Bank.” Chapman University Digital Commons.
• “Modeling COVID-19 testing rates by occupation among U.S. adults.” Advanced Data Analysis Project (required for second-year PhD students in statistics at CMU), advised by Alex Reinhart and Robin Mejia.

Conferences

• “Statistical Inference for Online Algorithms” (presented by S. Carter; joint with A. Kuchibhotla)
  • (Forthcoming) Joint Statistical Meetings (JSM) 2025 - Nashville, TN (08/02/2025) - contributed talk + roundtable
  • INFORMS-APS 2025 - Georgia Tech (07/02/2025) - contributed talk, poster, and lightning talk
  • Kansas Women in Math Symposium 2025 - Wichita State (04/27/2025) - poster and lightning talk
  • Symposium on Data Science and Statistics (SDSS) 2025 - Salt Lake City, UT (04/27/2025) - poster
• “Will AI Accelerate the Intra-Firm Digital Divide? Evidence from a Field Experiment on How Managers use Explainable AI” (Presented by co-author Jonathan Hersh)
  • MIT Conference on Digital Experimentation (CODE) (11/10/2023)
  • Wharton/Columbia Management, Analytics and Data (MAD) (5/19/2023)
  • USC Artificial Intelligence in Management, AIM 2023 (3/16/2023) – Best PhD Student Paper Award
  • Statistical Challenges in E-Commerce Research (6/2022)
  • Global Conference on Innovations in Management and Business (2021)
  • INFORMS Conference on Information Systems & Technology (CIST) (2020)
• Predicting Delays at the Inter-American Development Bank Using R. R-Gov Conference (Lander Analytics and Georgetown University). recording (12/2020)
• How Are Ideas Spread at Your Organization? Analyze Its Citation Network. R-Gov Conference (Lander Analytics and Georgetown University). recording (11/2019)
• The IDB Loan Network: Assessing the Role of Impact Evaluations. Sunbelt 2019 (International Network for Social Network Analysis, Montreal). (6/2019) Check out the cool viz I made.