I am an Independent Engineer specialized in the applications of Machine Learning, and a lecturer at ETHZ.
While being rather polyvalent and actually coming from a theoritical background, I have a specific expertise with applying technology to large data coming from the Cultural Heritage domain.
I successfully defended my PhD thesis at the end of 2018. During these few years, I got the opportunity to be involved with (and often directly be responsible of) every step of a successful Digital Humanities project, from the raw scanned documents to the interaction with the end users, directly designing state-of-the-art Machine Learning based algorithms to enrich the Terabytes of initial data, or prototyping novel navigation methods.
Since then, I have been working on multiple projects applying my technical expertise to make the visions of Digital Humanists become reality.
Some of my publications from my academic years are linked directly on the research page.
Feel free to contact me if you feel I could bring value to your project!
Past Events I attended
- Workshop: Photo Archives and Computer Vision 9-10th of January 2020, Getty Research Institute, Los Angeles
- International Symposium: The genealogy of forms from the perspective of Deep Learning 7-8th of November 2019, Université de Liège
- Invited talk A Digital Approach to Visual Semantics 14th of June 2019, École Normale Supérieure, Paris
- DH2018 26th-29th of June 2018, Mexico
- Archiving 2018 18th of April 2018, Washington
- Searching Through Seeing: Optimizing Computer Vision Technology for the Arts 12th-13th of April 2018, Frick Collection, NYC
- Invited talk Les Lundis Numériques de l’INHA 8th of January 2018, Paris (YouTube vidéo, in French)
- Invited talk INSIGHT Launch Event 9th of November 2017, Brussels
- DH2017 June 2017, Montréal. Gave the hands-on sessions (code+slides) for the “Computer Vision and Digital Humanities Workshop”, also presented a paper at the main conference.