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Sam Bowman Email & Phone Number

Associate Professor of Data Science, Linguistics, and Computer Science at New York University
Location: San Francisco, California, United States 7 work roles 2 schools
2 work emails found @nyu.edu LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails

Work email b****@nyu.edu
LinkedIn Profile matched
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Current company
Role
Associate Professor of Data Science, Linguistics, and Computer Science
Location
San Francisco, California, United States

Who is Sam Bowman? Overview

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Quick answer

Sam Bowman is listed as Associate Professor of Data Science, Linguistics, and Computer Science at New York University, based in San Francisco, California, United States. AeroLeads shows a work email signal at nyu.edu and a matched LinkedIn profile for Sam Bowman.

Sam Bowman previously worked as Member of Technical Staff at Anthropic and Participant at Giving What We Can. Sam Bowman holds Phd, Dept. Of Lingistics (Nlp Group) from Stanford University.

Company email context

Email format at New York University

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{last}@nyu.edu
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AeroLeads found 2 current-domain work email signals for Sam Bowman. Compare company email patterns before reaching out.

Profile bio

About Sam Bowman

I study artificial neural network models for natural language understanding, with a focus on language model alignment, building high-quality training and evaluation data, and applying neural network models to scientific questions in syntax and semantics.I don't reliably read linkedin messages. If you need to reach me for some other reason, start here: https://cims.nyu.edu/~sbowman/Most of the fun conversation is on Twitter.

Listed skills include Research, Machine Learning, Software Engineering, Python, and 10 others.

Current workplace

Sam Bowman's current company

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New York University
New York University
Associate Professor of Data Science, Linguistics, and Computer Science
San Francisco, CA, US
AeroLeads page
7 roles · 15 years

Sam Bowman work experience

A career timeline built from the work history available for this profile.

Associate Professor Of Data Science, Linguistics, And Computer Science

San Francisco, Ca, Us

Member Of Technical Staff

Current

Managing a group of AI safety and evaluations research teams.

Jun 2022 - Present

Associate Professor Of Data Science, Linguistics, And Computer Science

Current

New York, Ny, Us

On leave since summer 2022.

Aug 2016 - Present

Faculty Sponsor

Current
2019 - Present ~7 yrs 6 mos

Technical Advisor

New York, Ny, Us

2017 - 2023 ~6 yrs

Software Engineering Intern (Summers)

Mountain View, Ca, Us

Four internships in machine learning research, mostly involving Google Brain projects.

2012 - 2015 ~3 yrs
2 education records

Sam Bowman education

Phd, Dept. Of Lingistics (Nlp Group)

Stanford University

Ba/Ma, Linguistics

University Of Chicago
FAQ

Frequently asked questions about Sam Bowman

Quick answers generated from the profile data available on this page.

What company does Sam Bowman work for?

Sam Bowman works for New York University.

What is Sam Bowman's role at New York University?

Sam Bowman is listed as Associate Professor of Data Science, Linguistics, and Computer Science at New York University.

What is Sam Bowman's email address?

AeroLeads has found 2 work email signals at @nyu.edu for Sam Bowman at New York University.

Where is Sam Bowman based?

Sam Bowman is based in San Francisco, California, United States while working with New York University.

What companies has Sam Bowman worked for?

Sam Bowman has worked for New York University, Anthropic, Giving What We Can, Nyu Ai School, and Asapp.

How can I contact Sam Bowman?

You can use AeroLeads to view verified contact signals for Sam Bowman at New York University, including work email, phone, and LinkedIn data when available.

What schools did Sam Bowman attend?

Sam Bowman holds Phd, Dept. Of Lingistics (Nlp Group) from Stanford University.

What skills is Sam Bowman known for?

Sam Bowman is listed with skills including Research, Machine Learning, Software Engineering, Python, Data Analysis, Deep Learning, Computational Linguistics, and Latex.

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