Senior Data Scientist (AI / NLP)


ophelie.lacroix ( @ ) resolve.tech




Senior Data Scientist at Resolve.

Developing AI solutions for AdTech with a focus on data privacy. 


2020 - 2022  Senior AI Specialist (expert in NLP) at the Alexandra Institute

As a senior AI Specialist at the Alexandra Institute, I mostly focused on NLP projects, through commercial (consultancy) as well as academic projects. 

I was in charge of advising customers as well as prototyping, planning and developing projects.

My main academic project mainly focused on building NLP tools for the Danish language in collaboration with Universities (research, student supervision) and companies through the DaNLP project

2017 - 2020  Data Scientist at Siteimprove

As a Data Scientist at Siteimprove, I pursued research in Natural Language Processing and developed tools that help customers maintain and improve their websites. In particular, I worked on developing a grammatical error correction tool and supervised a Ph.D. student in the same field. 

2016 - 2017  Postdoctoral researcher at the Department of Computer Science of the University of Copenhagen --  CoAStaL group

As a postdoctoral researcher in the CoAStaL group, I worked on the LOWLANDS research project (ERC). My research focused on cross-lingual transfer of information between languages, in particular for low-resource languages and domains, through tasks such as PoS-tagging and discourse segmentation.

2015 - 2016  Postdoctoral researcher at the LIMSI-CNRS -- TLP (Spoken Language Processing) group

As a postdoctoral researcher in the TLP group, I took part in the project PAPYRUS.   My research focused on dependency parsing and in particular on learning dependency parsers from partially annotated data.   Through this research, I have been interested in cross-lingual transfer of syntactic information, active learning, constrained learning/parsing and domain adaptation.   I was also involved in the Automatic translation and machine learning group in which I worked on word pre-ordering for machine translation and in the use of dependency syntax for translating morphologically rich languages.



 I am a Ph.D. in computational linguistics of the University of Nantes in France.  I defended my thesis in December 2014. The subject of my thesis focused on non-projective dependency parsing, including the use of statistical methods through the study of grammar-based and transition-based parsers.