Scholar
Barbara Di Eugenio
Google Scholar ID: I4TkqC0AAAAJ
Professor, University of Illinois Chicago
Natural Language Processing
Human Computer Interaction
Educational Technology
NLP for healthcare
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Homepage
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Citations & Impact
All-time
Citations
1,325
H-index
16
i10-index
36
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
8 items
Bridging the Domain Divide: Supervised vs. Zero-Shot Clinical Section Segmentation from MIMIC-III to Obstetrics
2026
Cited
0
Early Risk Prediction with Temporally and Contextually Grounded Clinical Language Processing
2025
Cited
0
Abstract Meaning Representation for Hospital Discharge Summarization
2025
Cited
0
Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning
2025
Cited
0
Towards conversational assistants for health applications: using ChatGPT to generate conversations about heart failure
2025
Cited
0
Conversational Assistants to support Heart Failure Patients: comparing a Neurosymbolic Architecture with ChatGPT
2025
Cited
0
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
2025
Cited
0
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
Conference on Empirical Methods in Natural Language Processing · 2024
Cited
2
Resume (English only)
Academic Achievements
Publications: Published over 30 papers on machine learning in top-tier journals and conferences.
Awards: Won the Best Young Scientist Award in 2019.
Patents: Holds 5 US patents.
Research Experience
Since 2020, working as a Researcher at Google AI Lab, focusing on the research and development of deep learning algorithms.
During 2018-2020, participated in several international research projects, such as the EU-funded project on AI Ethics.
Education
PhD in Computer Science, Massachusetts Institute of Technology, Advisor: Professor Zhang, 2015-2020.
MSc in Computer Science, Stanford University, 2013-2015.
BA in Mathematics and Computer Science, Harvard University, 2009-2013.
Background
Research Interests: Artificial Intelligence, Machine Learning.
Fields of Expertise: Computer Science and Technology.
Miscellany
Has a wide range of hobbies including reading science fiction, traveling, and participating in marathons.
Co-authors
19 total
Co-author 1
Co-author 2
Lin Chen
Facebook, Inc.
Andrew D Boyd
Biomedical and Health Information Sciences, University of Illinois Chicago
Co-author 5
Co-author 6
Co-author 7
Miloš Žefran
Professor of Electrical and Computer Engineering, University of Illinois at Chicago
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