Dennis Shen

Dennis Shen

Postdoc EECS

MIT

Biography

I am a postdoctoral researcher at MIT within the Laboratory for Information and Decision Systems (LIDS) and Institute for Data, Systems, and Society (IDSS). I recently received my PhD in Electrical Engineering and Computer Science (EECS) from MIT, where I was fortunate to be advised by Professor Devavrat Shah.

Interests

  • Causal Inference
  • Machine Learning
  • High-dimensional Probability & Statistics
  • Matrix/Tensor Estimation

Education

  • PhD in EECS, 2020

    Massachusetts Institute of Technology

  • MSc in EECS, 2017

    Massachusetts Institute of Technology

  • BSc in EE, 2015

    University of California, San Diego

Publications

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

Under Submission, 2021.

Causal Imputation via Synthetic Interventions

Under Submission, 2020.

Synthetic Interventions

Under Submission, 2020. Workshop version in NeurIPS Workshop on CausalML, 2019

Two Burning Questions on COVID-19

Memo, 2020

On Robustness of Principal Component Regression

NeurIPS, 2019 (oral presentation). To also appear in Journal of American Statistical Association (JASA)

Work Experience

 
 
 
 
 

Consultant

TauRx Therapeutics

Oct 2020 – Present
 
 
 
 
 

Postdoctoral Associate

MIT EECS

Sep 2020 – Present Cambridge, MA
 
 
 
 
 

Core Data Science Research Intern

Facebook

Jun 2018 – Aug 2018 Menlo Park, California

Teaching

MIT 6.s077 Introduction to Data Science and Statistics (Spring 2019)
  • undergraduate-level introduction to principles, models, and algorithms for data science
UCSD ECE 35 Introduction to Analog Design (2013 - 2015)
  • undergraduate-level introduction to fundamental circuit theory concepts
UCSD ECE 25 Introduction to Digital Design (2013 - 2015)
  • undergraduate-level introduction to digital electronics

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