EDUCATION
Cornell University — Ph.D. in Information Science
Ithaca, NY
- GPA: 4.00 / 4.00
- Microsoft Azure Cloud Computing Grant ($18,700)
- Outstanding Teaching Award
Cornell University — M.S. in Information Science
Ithaca, NY, 2024
- GPA: 4.00 / 4.00
RESEARCH & PROFESSIONAL EXPERIENCE
Allen Institute for Artificial Intelligence — PhD Research Intern, Semantic Scholar
Seattle, WA | June 2025 – Present
- Developed a query reformulation system that increased Asta’s recall of scientific information from 40% to 60% on AstaBench.
- Created the Query Reformulation Benchmark to evaluate query reformulation methods by augmenting thousands of pairs of underspecified and refined user queries with few-shot learning.
- Designing a user study to test the usefulness and relevance of our system’s suggested query reformulations.
Cornell University — LLM & AI Research Scientist
Ithaca, NY | Aug 2021 – Present
- Identified unmet user needs in 15,000+ posts and 300,000+ comments from endometriosis online communities with fine-tuned DistilBERT models and few-shot learning.
- Demonstrated that readers have no strong preference for character gender using causal inference in a randomized survey experiment with 3,000 participants.
- Revealed that annotating a few sentences of LLM-generated clinical answers achieves results comparable to full annotations by designing a randomized survey experiment and a framework for assessing LLM-generated outputs under limited resources.
Cornell University — Teaching Assistant, Data Science and Machine Learning
Ithaca, NY | Jan 2024 – Dec 2024
- Taught weekly sections on data science, machine learning (ML), and natural language processing (NLP).
- Delivered lectures on social media analysis with NLP and statistical techniques for causal effect estimation.
- Curated a class activity on preprocessing large raw census data and applying ML to predict social outcomes.
NYC Health + Hospitals — Data Scientist Intern
New York City, NY | Jun 2023 – Aug 2023
Funded by the Siegel Family Endowment PiTech PhD Impact Fellowship
- Identified three alerts frequently overridden by nurses by analyzing around 3,000,000 clinical interruptive alerts.
- Demonstrated that revising alert criteria can reduce unnecessary alerts by up to 94%, while improving alert design can decrease overridden alerts by up to 64%, through data analysis and statistical testing.
- Prompted hospital leadership to implement organization-wide routine alert revisions by presenting findings to administration and informatics experts.
PUBLICATIONS
Check out to the publications tab 🤠
SKILLS & INTERESTS
Programming Languages: Python, R, Bash, SQL
Methods: NLP, Data Science, Statistical Testing, Causal Inference, Interviews, Surveys
Interests: poetry fanatic (Meadowlands is a favorite), aspiring gym rat, anime binge-watcher (Frieren at the moment)
POSTERS & PRESENTATIONS
What is Happening in Endometriosis Online Communities?
Kristen Pepin, Federica Bologna, and Matthew Wilkens
Main Stage Presentation at the 2023 Global Congress of the American Association of Gynecologic Laparoscopists (AAGL)
Support and Relationship Patterns in Endometriosis Narratives
Federica Bologna, Rosamond Thalken, David Mimno, and Matthew Wilkens
Long Presentation at DH2022
Analyzing Urban Space’s Presence in Science Fiction Using Token Counts
Federica Bologna
Presentation at University of Naples “L’Orientale” Graduate Conference 2020
TEACHING EXPERIENCE
Fall 2025 — Graduate TA, INFO 2950: Introduction to Data Science, Cornell University
Fall 2024 — Graduate TA, INFO 3350: Text Mining for History and Literature, Cornell University
Spring 2024 — Graduate TA, INFO 3370: Studying Social Inequality with Data Science, Cornell University
Spring 2023 — Graduate TA, INFO 3370: Studying Social Inequality with Data Science, Cornell University
Spring 2022 — Graduate TA, INFO 3350: Text Mining for History and Literature, Cornell University
HONORS, AWARDS & SCHOLARSHIPS
2024 — Microsoft Azure Cloud Computing Grant, Cornell University
2023 — Outstanding Teaching Award, Cornell University
2023 — Siegel Family Endowment PiTech PhD Impact Fellow, Cornell University
2019 — M.A. Thesis Research Abroad Scholarship, University of Bologna, Italy
2017 — Overseas Study Abroad Scholarship, University of Bologna, Italy