Dennis Shen

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I am an Assistant Professor in the Department of Data Sciences and Operations at USC Marshall Business School.

Previously, I was a FODSI postdoc fellow at the Simons Institute at UC Berkeley, where I was fortunate to be hosted by Professors Peng Ding, Jasjeet Sekhon, and Bin Yu. I completed my PhD in Electrical Engineering and Computer Science from MIT, where I was fortunate to be advised by Professor Devavrat Shah.

My research interests are broadly at the interface of high-dimensional statistics, machine learning, and causal inference.

news

Sep 1, 2026 A new preprint From Control to Treatment: Causal Forecasting Beyond the Observed Panel. Comments and feedback are appreciated.
Jun 8, 2026 Our paper, Benign Overfitting Beyond Prediction: The Ordinary Least Squares Interpolator, was accepted to Biometrika. This is joint work with Dogyoon Song, Peng Ding, and Jasjeet Sekhon.
May 10, 2026 I am grateful to receive the USC Marshall Undergraduate Golden Apple Award (AY25-26).
Oct 14, 2025 Our paper, Synthetic Interventions: Extending Synthetic Controls to Multiple Treatments, was accepted to Operations Research. This is joint work with Anish Agarwal and Devavrat Shah.
Jun 23, 2025 Our paper, On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls, was accepted to JMLR. This is joint work with Anish Agarwal and Devavrat Shah.
Apr 22, 2025 I am grateful to receive the USC Dornsife General Education Teaching Award (AY23-24).
Dec 31, 2024 Our paper, Obtaining personalized predictions from a randomized controlled trial on Alzheimer’s Disease, was accepted to Scientific Reports. This is joint work with Anish Agarwal, Vishal Misra, Devavrat Shah, and TauRx.
Oct 12, 2023 Our paper, Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data, was accepted to Econometrica. This is joint work with Peng Ding, Jasjeet Sekhon, and Bin Yu.