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Celia Eddy Email & Phone Number
Executive Director, Machine Learning
at
The New York Times
1 work email found
@nytimes.com
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Executive Director, Machine Learning
Location
New York, New York, United States
Company size
Who is Celia Eddy? Overview
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Quick answer
Celia Eddy is listed as Executive Director, Machine Learning at The New York Times, a company with 10449 employees, based in New York, New York, United States. AeroLeads shows a work email signal at nytimes.com and a matched LinkedIn profile for Celia Eddy.
Celia Eddy previously worked as Director of Data Science at The New York Times and Lead Data Scientist at The New York Times. Celia Eddy holds M.A. (2014), M.Phil. (2016), Ph.D. (2021), Geophysics And Seismology from Columbia University.
Company email context
Email format at The New York Times
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{first}.{last}@nytimes.com
86% confidence
AeroLeads found 1 current-domain work email signal for Celia Eddy. Compare company email patterns before reaching out.
Profile bio
About Celia Eddy
Celia Eddy is a Executive Director, Machine Learning at The New York Times. She possess expertise in data analysis, data science, research, python, natural language processing and 13 more skills.
Listed skills include Data Analysis, Data Science, Research, Python, and 14 others.
Current workplace
Celia Eddy's current company
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The New York Times
8 roles
Celia Eddy work experience
A career timeline built from the work history available for this profile.
Director Of Data Science
Current
Aug 2024 - Present
Lead Data Scientist
Sep 2022 - Aug 2024
Senior Data Scientist
Mar 2021 - Sep 2022
Data Scientist
Jul 2019 - Mar 2021
Graduate Student
Modeled the anisotropic seismic velocity structure of the upper mantle beneath the Pacific Ocean and designed new regularization techniques incorporating a priori geophysical informationDeveloped a new method for modeling the local amplification of seismic waves using a seismic-array-based techniqueLead weekly discussion sections, held office hours.
Sep 2012 - Oct 2019
Data Science Fellow
Built a product, StartuPublicity, that predicts the popularity of articles about startup companies and provides actionable insights for improving articles to increase reader engagementEngineered writing-style features, performed topic modeling, and parsed sentiment for a corpus of more than 50,000 articles scraped from Medium.comPredicted article.
Jan 2019 - Mar 2019
Lamont Summer Intern
Calculated profiles of diapycnal diffusivity in the Pacific Ocean from CTD data and found inferred mixing profiles that were consistent with direct observations of mixing from a tracer-release experiment
May 2010 - Aug 2010
2 education records
Celia Eddy education
M.A. (2014), M.Phil. (2016), Ph.D. (2021), Geophysics And Seismology
Columbia University
Bachelor Of Arts (B.A.), Earth Science And Mathematics
Columbia University
FAQ
Frequently asked questions about Celia Eddy
Quick answers generated from the profile data available on this page.
What company does Celia Eddy work for?
Celia Eddy works for The New York Times.
What is Celia Eddy's role at The New York Times?
Celia Eddy is listed as Executive Director, Machine Learning at The New York Times.
What is Celia Eddy's email address?
AeroLeads has found 1 work email signal at @nytimes.com for Celia Eddy at The New York Times.
Where is Celia Eddy based?
Celia Eddy is based in New York, New York, United States while working with The New York Times.
What companies has Celia Eddy worked for?
Celia Eddy has worked for The New York Times, Lamont-Doherty Earth Observatory, and Insight Data Science.
How can I contact Celia Eddy?
You can use AeroLeads to view verified contact signals for Celia Eddy at The New York Times, including work email, phone, and LinkedIn data when available.
What schools did Celia Eddy attend?
Celia Eddy holds M.A. (2014), M.Phil. (2016), Ph.D. (2021), Geophysics And Seismology from Columbia University.
What skills is Celia Eddy known for?
Celia Eddy is listed with skills including Data Analysis, Data Science, Research, Python, Natural Language Processing, Machine Learning, Sql, and Matlab.
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