Research

My research interests center around empirical Bayes, causal inference, and experimentation.

Research

* denotes equal contribution or alphabetical order.

2026

Sharp Minimax Theory for Randomized Experiments.
T. Sudijono, E. Dobriban, E. Tchetgen Tchetgen.
To be Submitted (2026).
[ ArXiv ]

Regression Adjustments for Experimental Designs in Two-Sided Marketplaces.
T. Sudijono, L. Lei, L. Masoero, S. Vijaykumar, G. Imbens, J. McQueen.
Submitted (2026).
[ ArXiv | Software ]

2025

Compound Selection Decisions: An Almost SURE Approach.
Jiafeng Chen*, Lihua Lei*, Timothy Sudijono*, Liyang Sun*, Tian Xie*.
Submitted (2026).
[ ArXiv | Software ]

Non-Identifiability distinguishes Neural Networks among Parametric Models.
S. Chatterjee*, T. Sudijono*.
Submitted (2025).
[ ArXiv ]

2024

Optimizing the Returns to Experimentation Programs.
T. Sudijono, S. Ejdemyr, A. Lal, M. Tingley.
Submitted (2024). Extended Abstract at ACM EC 2025.
[ ArXiv | Software ]

Neural Networks Generalize on Low Complexity Data.
S. Chatterjee*, T. Sudijono*.
Annals of Statistics (2026).
[ Journal | ArXiv ]

Synthetic Control Inference via Refined Placebo Tests.
L. Lei.*, T. Sudijono*,
Submitted (2024).
[ ArXiv | Software ]

2023

Fluctuation Bounds in the Restricted Solid-on-Solid Model of Surface Growth.
T. Sudijono.
Random Structures & Algorithms (2025).
[ Journal | ArXiv ]

Undergraduate Works

A Topological Data Analytic Approach for Discovering Biophysical Signatures in Protein Dynamics.
W. S. Tang*, G. M. da Silva*, H. Kirveslahti, E. Skeens, B. Feng, T. Sudijono, K. Yang, S. Mukherjee, B. Rubinstein, L. Crawford.
PLOS Computational Biology (2022).
[ Journal | BioArXiv ]

A statistical pipeline for identifying physical features that differentiate classes of 3D shapes.
B. Wang*, T. Sudijono*, H. Kirveslahti*, T. Gao, D. M. Boyer, S. Mukherjee, and L. Crawford.
Annals of Applied Statistics (2021).
[ Journal | BioArXiv | Software ]

Theses

Three essays on neural networks.
T. Sudijono, (Advised by S. Chatterjee).
Ph.D. Thesis, Stanford University (2026).
[ Repository ]

Stationarity and Ergodicity of Local Dynamics of Interacting Markov Chains on Large Sparse Graphs.
T. Sudijono, (Advised by K. Ramanan, A. Ganguly).
Sc. B. Thesis - May 2019.
[ Repository ]