Bailey Kuehl
Seattle,WA
Summary
Applied Data Scientist familiar with gathering, cleaning, analyzing, and communicating data to technical and non-technical stakeholders. Advanced understanding of statistical modeling, machine learning, and other analytical techniques. Highly organized, motivated and diligent with significant background in artificial intelligence and NLP.
Overview
4
4
years of professional experience
Work History
SENIOR DATA SCIENCE ANALYST
Allen Institute For AI
07.2023 - Current
- Built and fine-tuned a BERT transformer language model on token classification task to predict sentences in academic papers, resulting in a 12% increase in F1 compared to baseline
- Lead 3 junior analysts, including distributing tasks, leading weekly stand-up, and providing technical mentorship
- Proposed and implemented framework for standardizing the evaluation of large language models, including dimensions (model capabilities, ethical / safety concerns, etc.) and relevant datasets
DATA SCIENCE ANALYST II
Allen Institute For AI
06.2021 - 07.2023
- Built and deployed end-to-end machine learning pipeline for paper reference prediction model
- Created data dashboards using RedshiftSQL to track annual goals and track patterns and identify potential data issues
- Designed and conducted hypothesis (A/B) test to evaluate Paper QA feature on Semantic Scholar, resulting in a 10% relative increase in library saves per user
- Implemented linear regression statistical model to identify factors contributing to long PDF load times, resulting in 15% increase in user satisfaction
DATA SCIENCE ANALYST I
Allen Institute For AI
08.2020 - 06.2021
- Generated expert training data for TL;DR summaries and present insights and errors to research team
- Proposed and implemented project intake, tracking, and distribution process for the data science team
- Evaluated scientific fact checking machine learning model on COVID-19 claims
Education
MASTER OF INFORMATION AND DATA SCIENCE -
UNIVERSITY OF CALIFORNIA, BERKELEY
08.2024
B.S. MATERIALS SCIENCE ENGINEERING -
UNIVERSITY OF WISCONSIN-MADISON
05.2019
Skills
- Python, SQL, R
- PyTorch, TensorFlow, Spark
- Machine Learning, NLP, Deep Learning
- A/B testing, Statistical Analysis, Predictive Modeling
- Docker, AWS, Redshift
- Databricks (Azure)
- HuggingFace
Data Science Publications
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents, EMNLP 2023. Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl**, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini.
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization, EACL 2023. Kalpesh Krishna, Erin Bransom, Bailey Kuehl**, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo.
Generating Scientific Claims for Automated Scientific Fact Checking, ACL 2022. Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl**, Isabelle Augenstein, Lucy Lu Wang.
SciA11y: Converting scientific papers to accessible HTML, ASSETS 2021. Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl**, Madeleine van Zuylen, Linda Wagner, Dan S Weld.
Honors And Awards
- EACL 2023 Outstanding Paper Award
- EMNLP 2023 Best Demo Award
- ASSETS 2021 Best Artifact Award
Timeline
SENIOR DATA SCIENCE ANALYST
Allen Institute For AI
07.2023 - Current
DATA SCIENCE ANALYST II
Allen Institute For AI
06.2021 - 07.2023
DATA SCIENCE ANALYST I
Allen Institute For AI
08.2020 - 06.2021
MASTER OF INFORMATION AND DATA SCIENCE -
UNIVERSITY OF CALIFORNIA, BERKELEY
B.S. MATERIALS SCIENCE ENGINEERING -
UNIVERSITY OF WISCONSIN-MADISON
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