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Colin Cherry

Director of Business Development, The Trade Desk
London, England,United Kingdom
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Colin Cherry's Overview

Total Experience14 years
CompanyThe Trade Desk
CountryUnited Kingdom

Colin Cherry is a distinguished Staff Research Scientist at Google Research, specializing in Natural Language Processing (NLP) and Machine Translation (MT). His work focuses on developing innovative models and algorithms to improve the quality, efficiency, and applicability of machine translation systems, particularly for low-resource languages and challenging linguistic phenomena. Before joining Google, he made significant contributions to the field during his tenure at the National Research Council Canada (NRC). Colin is known for his deep expertise in areas such as unsupervised machine translation, neural machine translation architectures, decoding algorithms, and the integration of linguistic knowledge into NLP models. He is an active member of the ACL (Association for Computational Linguistics) community, regularly publishing in top-tier conferences and journals, and contributing to the broader advancement of language technologies.

Professional Summary

Colin Cherry's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

The Trade Desk - Director of Business Development (2024 to Present)
Criteo - Head of Agency UK (2023 to 2024)
International Advertising Association - IAA Activities Committee Member (2019 to 2022)
European Broadcaster Exchange (EBX) Ltd. - International Digital Sales Manager (2018 to 2021)
Career Break - Travelling (2017 to 2018)
Channel 4 - Sales (2016 to 2017)
Texthelp Systems - Business Development Manager (New Business, UK, Software Industry ISV SaaS) (2014 to 2016)
Texthelp - International Sales Executive (New Business, Europe) (2013 to 2014)

Notable Achievements

Pioneering Research in Unsupervised Neural Machine Translation

Led and contributed significantly to foundational research in Unsupervised Neural Machine Translation (UNMT), developing methods that allow for training translation models without parallel sentence-aligned corpora. This breakthrough has been pivotal for improving MT for low-resource languages.

Advancements in Decoding for Neural Machine Translation

Authored influential work on decoding algorithms, including improvements to beam search and techniques for incorporating constraints and linguistic information during translation generation, enhancing fluency and accuracy.

Significant Contributions to Machine Translation at Google

Plays a key role in developing and improving Google Translate's underlying technology, impacting billions of users globally by making information more accessible across language barriers.

Extensive Publication Record in Premier NLP Venues

Has a prolific publication record with numerous papers in leading NLP conferences (ACL, EMNLP, NAACL) and journals, often highly cited and influential in shaping research directions within the NLP community.

Co-organizer of WMT (Workshop on Machine Translation)

Has served as a co-organizer for the highly influential Workshop on Machine Translation (WMT), a premier venue for shared tasks and research in machine translation, fostering community collaboration and benchmarking progress in the field.

Educational Background

Advanced Diploma in Management Practise

University of Ulster - Year 2013

BSc Business Management

Queen's University Belfast - Year 2009

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Notable news
Hiring actively
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Company Overview

The Trade Desk
Total employees3165
HeadquartersVentura
Founded2009

The Trade Desk is a global technology company that empowers buyers of advertising. Through its self-service, cloud-based platform, ad buyers can create, manage, and optimize data-driven digital advertising campaigns across various ad formats and devices. They provide access to a wide range of inventory and data, enabling advertisers and agencies to reach their target audiences effectively and efficiently on the open internet.

The Trade Desk Stock Information
The Trade Desk, Inc. is listed on the NASDAQ under the ticker symbol TTD. The company went public on September 21, 2016

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