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User Info
Julie Lee
3 Farrell Way
Cambridge, Massachusetts United States
Phone: 9173256429
Email: juliejlee42@gmail.com
Send Private Message
3 Farrell Way
Cambridge, Massachusetts United States
Phone: 9173256429
Email: juliejlee42@gmail.com
Send Private Message
Investigative data reporter
Resumes ID: 10821
Resumes Views: 5
Location: Cambridge, Massachusetts, United States
Zip Code:
Posted: 07.15.2025
Updated:
Job Type:
Job Category: Online | New Media, Magazines, Academia,
Website: julielee.net
LinkedIn Resume: https://www.linkedin.com/in/julie-j-lee/
Objective
Data-driven storyteller with 12+ years of research experience looking for fellowships, internships and job opportunities in investigative data journalism. Focus on surveillance, criminal justice and artificial intelligence, but open to opportunities across beats. I love finding creative solutions to novel problems. View my work at julielee.net or data.aclum.org/blogEducation:
09.01.2015 - 09.01.2020
University College London
Neuroscience
Neuroscience
09.01.2012 - 06.01.2015
University of Bristol
Psychology
Psychology
08.15.2025 -
Columbia University
Investigative Journalism
Investigative Journalism
Work Experience:
01.21.2022 - 06.05.2023
Postdoctoral Associate
New York University |
Built online behavioral tasks to study the development of statistical learning using JavaScript. Used pre-collected geolocation data to map relationships between exploration and emotion. Focused on computational models of learning.
New York University |
Built online behavioral tasks to study the development of statistical learning using JavaScript. Used pre-collected geolocation data to map relationships between exploration and emotion. Focused on computational models of learning.
09.05.2023 -
Technology for Liberty Fellow
ACLU of Massachusetts |
Craft data-driven accountability stories on issues including surveillance, policing and algorithmic decision-making. Find leads in public records, building databases when necessary and creating interactive visualizations to accompany public-facing stories. Published largest-to-date analysis of Boston’s ShotSpotter system, prompting city council hearings and a letter from Ed Markey, Elizabeth Warren and Ayanna Pressley to the DHS Office of the Inspector General.
ACLU of Massachusetts |
Craft data-driven accountability stories on issues including surveillance, policing and algorithmic decision-making. Find leads in public records, building databases when necessary and creating interactive visualizations to accompany public-facing stories. Published largest-to-date analysis of Boston’s ShotSpotter system, prompting city council hearings and a letter from Ed Markey, Elizabeth Warren and Ayanna Pressley to the DHS Office of the Inspector General.
09.01.2020 - 10.01.2021
Postdoctoral Fellow
University College London |
Leveraged machine learning methods and statistical models to understand learning and decision-making in the brain, using neural data collected during my PhD. Worked with terabytes of high-dimensional image and time-series data, using scientific programming and data visualization to extract insights. Worked on a manuscript of PhD work, publishing it in a high-impact journal.
University College London |
Leveraged machine learning methods and statistical models to understand learning and decision-making in the brain, using neural data collected during my PhD. Worked with terabytes of high-dimensional image and time-series data, using scientific programming and data visualization to extract insights. Worked on a manuscript of PhD work, publishing it in a high-impact journal.
Total Years Experience:
4 yearsSkills:
Over 12 years of research and computational experience. Significant experience working with public records and public data, including cleaning, extracting and scraping large datasets to build databases. Proficient with R, Python and command-line tools for data analysis, as well as HTML/CSS, Javascript, Infogram and Datawrapper for interactive visualizations. Skilled in machine learning and other cutting-edge computational models, including leveraging natural language processing. Highly proficient at understanding complex technical and academic material.Occupations:
Intern, Multimedia Specialist/Multimedia Digital Journalist, Programmer/Progaming Executive, Reporter-Investigative, Reporter/Technology, Researcher/News Research, Writer-
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