Chester Palen-Michel

Chester Palen-Michel

PhD Student

Brandeis University


My research interests lie in Natural Language Processing (NLP), which is an interdisciplinary field at the intersection of statistical machine learning and theoretical linguistics. In particular, I’m interested in NLP for lower resource languages, information extraction, information retrieval, and models of meaning and reference. I’m currently advised by Professor Constantine Lignos.

Prior to doctoral studies at Brandeis, I worked as a research programmer at University of Southern California Information Sciences Institute. Before working at ISI, I completed the MS in Computational Lingusitics at Brandeis in 2018. I also was formerly an English as a foreign language instructor at Kent State University.


SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation
MasakhaNER: Named Entity Recognition for African Languages
Saral: A low-resource cross-lingual domain-focused information retrieval system for effective rapid document triage



  • Teaching Assistant
    • Named Entity Recognition (COSI 217B, Spring 2022)
    • Natural Language Processing Systems (COSI 217B, Spring 2021)
    • Fundamentals of NLP (COSI 114a, Fall 2020)
    • Syntactic Theory (Ling 120, Fall 2017)
    • Language Acquisition (Ling 197a, Spring 2017)

Kent State:

  • Taught variety of semester ESL courses and summer programs 2012-2016


  • first initial lastname (no hyphen) AT brandeis DOT edu
  • 415 South St, Waltham, MA 02453
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