Assistant Professor of Computer Science
Adam Poliak
Bryn Mawr College
Natural Language Processing, Model Evaluation, and Computational Social Science
The Lab
Students doing research that travels beyond the classroom.
Bryn Mawr NLP brings together faculty and students working on language-model evaluation, public health, computational social science, and responsible AI.
Lab Leadership
Faculty
Current Members
Current Students
Current researchers are listed with the questions they study, the projects they are building, and the outcomes they are working toward.
YL
Student Outcomes
Research Beyond Bryn Mawr
Former Members
Lab Alumni
Former students are presented through the research they completed and the scholarly or professional outcomes that followed.
Bryn Mawr College · Class of 2025
Joon Luther
B.A. in Computer Science and Mathematics
NLP for Public Health
Research
Classifying Reddit posts that describe personal shingles-vaccine side effects
Developed an ensemble NLP system combining RoBERTa with traditional classifiers for a public-health shared task.
Outcome
Presented at the Social Media Mining for Health Workshop at ICWSM 2025.
Where They Are Now
View research →
Software Engineer at Goldman Sachs
Haverford College · Class of 2025
Grace Proebsting
Natural Language Inference and Dataset Bias
Research
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference
Outcome
Co-authored a full paper at COLING 2025.
Where They Are Now
View research →
PhD Student at Northeastern University
Bryn Mawr College · Class of 2024
Jac McCarty
B.A. in Computer Science and Russian
Natural Language Inference
Research
Russian Language in Modern Natural Language Processing and Natural Language Inference: The Necessity of Performance Evaluation Datasets Focusing on Negation
An interdisciplinary senior thesis examining the role of negation in natural language inference and arguing for evaluation datasets that better capture the linguistic properties of Russian.
Outcome
Senior thesis in Computer Science and Russian.
Barnard College · Class of 2024
Noreen Mayat
BA in Computer Science
NLP for Maternal Health
Research
Discovering Changes in Birthing Narratives During COVID-19
Outcome
View research →
Co-authored research analyzing changes in online birthing narratives during the pandemic.
Barnard College · Class of 2024
Daphna Spira
BA in Neuroscience
NLP for Maternal Health
Research
Discovering Changes in Birthing Narratives During COVID-19
Outcome
Co-authored research analyzing changes in online birthing narratives during the pandemic.
Where They Are Now
View research →
Medical Student at Hofstra
Barnard College · Class of 2024
Esha Julka
B.A. in Computer Science
NLP for Mental Health
Research
Characterizing Test Anxiety on Social Media
Outcome
View research →
Co-authored research presented at WiNLP 2021.
Johns Hopkins University · Class of 2021
Max Fleming
BS in Computer Science
NLP for Public Health
Research
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets
Outcome
Co-authored a system paper for the Social Media Mining for Health Applications 2021 Shared Task.
Where They Are Now
View research →
Machine Learning Engineer at Salesforce
Columbia College · Class of 2021
Sanjana Marcé
B.A. in Mathematics and Computer Science
Fairness and Bias in NLP
Research
On Gender Biases in Offensive Language Classification Models
Outcome
Co-authored a paper at the 4th Workshop on Gender Bias in Natural Language Processing.
Where They Are Now
View research →
ML Engineer at Apple
Barnard College · Class of 2021
Olivia Kowalishin
NLP for Mental Health
Research
Characterizing Test Anxiety on Social Media
Outcome
View research →
Co-authored research presented at WiNLP 2021.
Selected Work
Student Publications and Projects
Joon Luther
Adam Poliak and Joon Luther '25 Build System for Public Health Insights
NLP for Public Health
Presented at the Social Media Mining for Health Workshop at ICWSM 2025.
Grace Proebsting
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference
Natural Language Inference and Dataset Bias
Co-authored a full paper at COLING 2025.
Noreen Mayat
Discovering Changes in Birthing Narratives During COVID-19
NLP for Maternal Health
Co-authored research analyzing changes in online birthing narratives during the pandemic.
Daphna Spira
Discovering Changes in Birthing Narratives During COVID-19
NLP for Maternal Health
Co-authored research analyzing changes in online birthing narratives during the pandemic.
Esha Julka
Characterizing Test Anxiety on Social Media
NLP for Mental Health
Co-authored research presented at WiNLP 2021.
Max Fleming
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets
NLP for Public Health
Co-authored a system paper for the Social Media Mining for Health Applications 2021 Shared Task.
Sanjana Marcé
On Gender Biases in Offensive Language Classification Models
Fairness and Bias in NLP
Co-authored a paper at the 4th Workshop on Gender Bias in Natural Language Processing.
Olivia Kowalishin
Characterizing Test Anxiety on Social Media
NLP for Mental Health
Co-authored research presented at WiNLP 2021.
Where They Are Now
Alumni Destinations
Joon Luther
Software Engineer
Goldman Sachs
Grace Proebsting
PhD Student
Northeastern University
Daphna Spira
Medical Student
Hofstra
Max Fleming
Machine Learning Engineer
Salesforce
Sanjana Marcé
ML Engineer
Apple
Join the Lab
Interested in doing NLP research?
Students can participate through senior theses, independent studies, summer research, shared tasks, and collaborative publications.
Learn how to join →