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

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

Proceedings of the National Academy of Sciences (PNAS), 2022

Causal Imputation via Synthetic Interventions

Causal Learning and Reasoning (CLeaR), 2022.

Causal Matrix Completion

Working paper, 2022.

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

Neural Information Processing Systems (NeurIPS), 2021.

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

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