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

Causal Matrix Completion

Under Submission, 2021.

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

NeurIPS, 2021.

Predicting Heterogeneous Drug Effects on Gene Expression across Cell Types

Under Submission, 2021.

Synthetic Interventions

Under Submission, 2021. Workshop version in NeurIPS Workshop on CausalML, 2019

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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