Laura Biester
Scholar

Laura Biester

Google Scholar ID: V-lAKfYAAAAJ
Middlebury College
Natural Language ProcessingComputational Social Science
Citations & Impact
All-time
Citations
168
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization (ACL 2025)
  • - Sports and Women's Sports: Gender Bias in Text Generation with Olympic Data (NAACL 2025)
  • - Representing and Clustering Errors in Offensive Language Detection (NAACL SRW 2025)
  • - How developments in natural language processing help us in understanding human behaviour (Nature Human Behaviour, 2024)
  • - Tightly Coupled Worksheets and Homework Assignments for NLP (Workshop on Teaching NLP at ACL 2024)
  • - Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models (LREC-COLING 2024)
  • - Temporal Arcs of Mental Health: Patterns Behind Changes in Depression over Time (ACII 2023 Late Breaking Results)
  • - Lexical Measurement of Teaching Qualities (ASEE 2023)
  • - Improving Mental Health Classifier Generalization with Pre-Diagnosis Data (ICWSM 2023)
  • - We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience (ICWSM 2023)
  • - Emotional and Cognitive Changes Surrounding Online Depression Identity Claims (PLOS ONE, 2022)
  • - Analyzing the Effects of Annotator Gender Across NLP Tasks (NLPerspectives Workshop at LREC 2022)
Research Experience
  • - PhD Research at University of Michigan: Natural Language Processing and Computational Social Science
  • - Intern at IBM Research: Worked on Clinical NLP
  • - Full-time Software Engineer at Pinterest: Worked on database systems for two years
Education
  • - PhD: University of Michigan, Computer Science and Engineering, August 2023, Advisor: Dr. Rada Mihalcea
  • - MS: University of Michigan, Computer Science and Engineering, May 2020
  • - BA: Carleton College, Computer Science, June 2016
Background
  • - Research Interests: Intersection of Natural Language Processing (NLP) and Computational Social Science
  • - Professional Field: Modeling language change over time for individuals with depression, primarily using social media data, perspectivism in NLP, bias in language, and Clinical NLP
  • - Brief Introduction: Assistant Professor in the Department of Computer Science at Middlebury College, teaching Natural Language Processing and Introduction to Computing.
Miscellany
  • - Personal interests not mentioned