Dennis Shen

Dennis Shen

Postdoc

UC Berkeley

Biography

Hi! I am a FODSI postdoctoral fellow at UC Berkeley, where I am fortunate to be hosted by Professors Peng Ding, Jasjeet Sekhon, and Bin Yu. Previously, I completed my PhD in Electrical Engineering and Computer Science (EECS) from MIT, where I was fortunate to be advised by Professor Devavrat Shah.

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Interests

  • Causal Inference
  • Machine Learning
  • High-dimensional Statistics
  • Matrix/Tensor Completion

Education

  • PhD in EECS, 2020

    Massachusetts Institute of Technology

  • MS in EECS, 2017

    Massachusetts Institute of Technology

  • BS in EE, 2015

    University of California, San Diego

Publications

On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls

Under submission, 2022.
Anish Agarwal, Devavrat Shah, Dennis Shen
PDF

Public health implications of opening National Football League stadiums during the COVID-19 pandemic

Proceedings of the National Academy of Sciences (PNAS), 2022
Bernardo García Bulle, Dennis Shen, Devavrat Shah, Anette E Hosoi
PDF

Causal Imputation via Synthetic Interventions

Causal Learning and Reasoning (CLeaR), 2022.
Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
PDF

Causal Matrix Completion

Working paper, 2022.
Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen
PDF

PerSim: Data-efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

Neural Information Processing Systems (NeurIPS), 2021.
Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
PDF
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Industry Experience

 
 
 
 
 

Consultant

Uber Technologies

Jul 2021 – Present
 
 
 
 
 

Consultant

TauRx Therapeutics

Oct 2020 – Present
 
 
 
 
 

Core Data Science Research Intern

Facebook

Jun 2018 – Aug 2018 Menlo Park, California

Art

Sometimes, I dillydally in art.

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