Jennifer Tang

Massachusetts Institute of Technology

About Me

I am a Postdoctoral Associate in IDSS (Institute for Data, Systems, and Society) and LIDS (Laboratory for Information and Decision Systems) at MIT working with Ali Jadbabaie. I received my Ph.D. in the Department of Electrical Engineering and Computer Science at MIT advised by Yury Polyanskiy. Previous to that, I received my B.S.E in Electrical Engineering at Princeton University. At Princeton, I did my junior and senior independent work with Paul Cuff.

My research interests include information theory, prediction and estimation, quantization and data compression, high-dimensional statistics, data analytics, multi-agent networks, and models for social dynamics and inference.

I am on the job market this year.

CV

CV

Research Statement

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Publications and Preprints

Conference

Journal

* indicates equal contribution

Teaching

My teaching experiences include:

  • Instructor for MIT 1.022: Introduction to Network Models (Spring 2025)
  • TA for MIT 6.008: Introduction to Inference (Fall 2020)
  • Graduate Instructor for MIT 6.041/6.431: Probabilistic Systems Analysis (Spring 2020)
  • TA for MIT 6.008: Introduction to Inference (Fall 2019)
  • TA for MIT 6.437: Inference and Information (Spring 2019)
  • TA for MIT 6.439: Statistics, Computation and Applications (Fall 2018)
  • Mathematics Instructor for MIT Women's Technology Program (WTP) (Summer 2017)

Contact Me

You are encouraged to email me if:

  • Interested in having me give a talk in your group!

You can email me at: jstang AT mit.edu