Justin Hugues-Nuger Email & Phone Number
@amazon.com
1 phone found area 781
LinkedIn matched
Who is Justin Hugues-Nuger? Overview
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Justin Hugues-Nuger is listed as Computational Linguist at Grammarly at Grammarly, a with 518 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 781, and a matched LinkedIn profile for Justin Hugues-Nuger.
Justin Hugues-Nuger previously worked as Computational Linguist at Grammarly and Senior Language Engineer—Amazon Music at Amazon. Justin Hugues-Nuger holds Bachelor Of Arts (Ba) from Mcgill University.
Email format at Grammarly
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AeroLeads found 1 current-domain work email signal for Justin Hugues-Nuger. Compare company email patterns before reaching out.
About Justin Hugues-Nuger
Justin Hugues-Nuger is a Computational Linguist at Grammarly at Grammarly. He possess expertise in natural language understanding, natural language processing, speech recognition, data modeling, machine learning and 22 more skills. He is proficient in Palauan, Japanese, Modern Greek and Spanish.
Listed skills include Natural Language Understanding, Natural Language Processing, Speech Recognition, Data Modeling, and 23 others.
Justin Hugues-Nuger's current company
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Justin Hugues-Nuger work experience
A career timeline built from the work history available for this profile.
Senior Language Engineer—Amazon Music
Principal Speech/Natural Language Research Scientist
Senior Speech/Natural Language Research Scientist
Speech Applications Analyst
Graduate Student Intern (Uarc)
Colleagues at Grammarly
Other employees you can reach at grammarly.com. View company contacts for 518 employees →
Tanvir Mahmud
Colleague at GrammarlyComilla, Chattogram, Bangladesh
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NY
Naushad Yusuf
Colleague at GrammarlyMombasa County, Kenya
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JT
Julian Tricamo-Palmer
Colleague at GrammarlyNew York, United States
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Lucy Odion
Colleague at GrammarlyLondon, England, United Kingdom
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NZ
Nastya Zlenko
Colleague at GrammarlyGermany
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IE
Ildikó Emese Szabó, Phd
Colleague at GrammarlyBerlin, Germany
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KM
Kat Martitsch
Colleague at GrammarlySan Francisco, California, United States
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GS
Gregory Shekhet
Colleague at GrammarlySan Francisco, California, United States
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Jessie Ourique
Colleague at GrammarlyLos Angeles Metropolitan Area, United States
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ZW
Zhanhong Wu
Colleague at GrammarlyGreater Seattle Area, United States
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Justin Hugues-Nuger education
Bachelor Of Arts (Ba)
Doctor Of Philosophy (Phd)
Postdoctoral Research Associate
Coursework
Coursework
Coursework
University Year Abroad
High School Year Abroad
Frequently asked questions about Justin Hugues-Nuger
Quick answers generated from the profile data available on this page.
What company does Justin Hugues-Nuger work for?
Justin Hugues-Nuger works for Grammarly.
What is Justin Hugues-Nuger's role at Grammarly?
Justin Hugues-Nuger is listed as Computational Linguist at Grammarly at Grammarly.
What is Justin Hugues-Nuger's email address?
AeroLeads has found 1 work email signal at @amazon.com for Justin Hugues-Nuger at Grammarly.
What is Justin Hugues-Nuger's phone number?
AeroLeads has found 1 phone signal(s) with area code 781 for Justin Hugues-Nuger at Grammarly.
Where is Justin Hugues-Nuger based?
Justin Hugues-Nuger is based in San Francisco, California, United States while working with Grammarly.
What companies has Justin Hugues-Nuger worked for?
Justin Hugues-Nuger has worked for Grammarly, Amazon, Nuance Communications, Voxify, and Nasa Ames Research Center.
Who are Justin Hugues-Nuger's colleagues at Grammarly?
Justin Hugues-Nuger's colleagues at Grammarly include Tanvir Mahmud, Naushad Yusuf, Julian Tricamo-Palmer, Lucy Odion, and Nastya Zlenko.
How can I contact Justin Hugues-Nuger?
You can use AeroLeads to view verified contact signals for Justin Hugues-Nuger at Grammarly, including work email, phone, and LinkedIn data when available.
What schools did Justin Hugues-Nuger attend?
Justin Hugues-Nuger holds Bachelor Of Arts (Ba) from Mcgill University.
What skills is Justin Hugues-Nuger known for?
Justin Hugues-Nuger is listed with skills including Natural Language Understanding, Natural Language Processing, Speech Recognition, Data Modeling, Machine Learning, Predictive Analytics, Perl Automation, and Python.
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