James Tanner
About James Tanner
James Tanner is a Speech Data Scientist at Resemble AI in Montreal, Quebec, Canada, where he has worked since 2021. He holds a Ph.D. in Linguistics from McGill University and has extensive experience in speech science, programming, and quantitative methods.
Work at Resemble AI
James Tanner has been employed at Resemble AI as a Speech Data Scientist since 2021. In this role, he focuses on the analysis and modeling of speech data, utilizing his expertise in phonetics and corpus analysis. His work contributes to the development of advanced speech technologies within the organization, based in Montreal, Quebec, Canada.
Previous Experience
Prior to his current position, Tanner held various roles in academia and industry. He worked as a Teaching Assistant at McGill University for three months in 2019 and served as a Research Analyst at Data Sciences for four months in 2021. Additionally, he was a Researcher at McGill University from 2020 to 2021 and held multiple positions at McGill, including Managing Editor and Teaching Assistant from 2014 to 2015.
Education and Expertise
James Tanner holds a Doctor of Philosophy (Ph.D.) in Linguistics from McGill University, which he completed from 2016 to 2020. He also earned a Master of Arts (M.A.) in Linguistics from McGill University from 2013 to 2015 and a Bachelor of Arts (B.A.) in English Language and Linguistics from the University of Kent from 2008 to 2011. His academic background supports his expertise in phonetics, corpus analysis, and quantitative methods.
Technical Skills
Tanner possesses advanced skills in R and Python programming, which he applies to statistical modeling and data analysis in the field of speech science. His proficiency in these programming languages enhances his ability to conduct complex analyses and develop models that are essential for his work as a Speech Data Scientist.
International Experience
James Tanner has international work experience, having served as a TTS Language Engineer at Amazon in Gdansk, Poland, from 2017 to 2018. This role involved working on text-to-speech technologies, further broadening his expertise in speech data and technology.