JANA THOMPSON
CV
Professional Experience
(Download my full CV here)
September 2024-present
UX Researcher,
Siento.io
Lead UX researcher using quantitative (A/B testing, surveys, usage statistics) and qualitative (ethnography, participatory) methods to develop UX artefacts to create a trauma-informed user experience at Siento.
June 2022 - August 2024
Language Engineer,
Amazon Alexa
Using linguistic knowledge and machine learning, I worked on a team that develops and improves the Alexa user experience.
January 2020 - May 2022
Researcher, Machine Learning for Language Lab, NYU
Worked with research team to build two benchmarking projects for large-language models: one on long texts (QuALITY) and one on bias (BBQ). BBQ was also incorporated into the BigBench benchmarking set.
April 2020 - present
Freelance AI developer/UX researcher
Two former client projects were working as a UX designer and annotation manager for an early stage maternity care startup and working as an advisor and consultant to a data science team at a Fortune 500 client.
January 2019 - August 2020
AI Development Lead/Board Member, FeministAI
Led AI development on Contextual Normalcy project (AI/XR and mental health)
Created branding for Encode, Ways of Knowing, and art installations
Led content design and worked with programming strategy team
November 2018-December 2019
Senior Data Designer, Fjord
Collaborated on speculative design with emerging transportation technologies
Led and designed complete overhaul of website, content, and marketing strategy for a corporate partnership
Created data visualizations for multiple design research projects
Conducted quantitative UX research for multiple clients
Conceived and developed an AI design assistant
Led data strategy for Fortune 500 client
Collaborated on design research on health care mindsets
May 2016-November 2018
AI Researcher and Technologist, AI Group, Accenture Research Labs
Led team on design and development of AI regulatory tool for financial industry using knowledge graphs and React front-end
Led team for prototype of tool for Canadian government monitoring of public sentiment on regulatory change
Researched Question-Answering Seq2Seq model applications with MIT CSAIL researchers
Led team for ML pipeline and front-end for service engineer assistance tool
Recruited and led intern teams
October 2014-April 2016
Natural Language Engineer, Idibon
Built core models for sentiment analysis and NER in English, German, Spanish, French, and Mandarin
Created custom natural language processing tools for clients for customer insight
Led annotator teams and designed data labeling and annotation tasks and pipelines
Co-designed and tested within larger team of Idibon Studio (our core software offering)
Worked on core engineering tasks