Scholar
Kiera McCormick
Google Scholar ID: NnnLbT4AAAAJ
Master's Student in Computer Science at Johns Hopkins University
Citations & Impact
Citations
10
H-index
1
i10-index
0
Publications
7
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - 'From Queries to Criteria: Understanding How Astronomers Evaluate LLMs' accepted at COLM.
- - 'Encoding and Understanding Astrophysical Information in Large Language Model-Generated Summaries' accepted at NeurIPs: ML4PS.
- - 'Designing an Evaluation Framework for Large Language Models in Astronomy Research' submitted to ICML: AI4Science workshop.
- - 'pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy' published in ApJS 275 38.
Research Experience
- - Worked at the Center for Astrophysics Harvard & Smithsonian with AstroAI on Multi-Modal LLMs for Astrophysics.
- - Participated in the Annual Frederick Jelinek Memorial Summer Workshop and the Space Astronomy Summer Program led by John Wu at Johns Hopkins University and the Space Telescope Science Institute, focusing on developing and evaluating the role of Large Language Model chatbots within astronomy research.
- - Completed an internship at Omega Technical Services at the Los Alamos National Laboratory, collaborating with the industrial engineering team on task scheduling optimization through databases and automation, along with data analysis.
Education
- Master’s student in Computer Science at Johns Hopkins University, with a concentration in Human Language Technology; Bachelor’s degree in Science and Engineering from Loyola University Maryland, specializing in Electrical and Computer Engineering, with a minor in Mathematics.
Background
- Research interests include the development of Large Language Models for higher scientific research, human and AI comparison and cooperation on Natural Language Processing tasks, advancing open-source science, prompt engineering, evaluating human-computer interactions, question-answer chatbot applications, and more. Also interested in exploring the possibilities of machine learning for interdisciplinary fields, AI safety and misalignment, and machine translation.
Miscellany
- Involved with the Women’s Club Lacrosse team, the Loyola Honors Program, Physics tutoring and TAing, leading the Society of Women Engineers, the Haig Scholars program, and the Institute of Electrical and Electronics Engineers. Was a finalist for the Choudhury Sarkar-Dey Medal and an academic all-American in the Women’s Club Lacrosse Organization.
Co-authors