Sasha Luccioni
Sasha Luccioni | |
|---|---|
| Born | Soviet Union |
| Alma mater | Université du Québec à Montréal (PhD in Cognitive Computing) École normale supérieure (Paris) (MSc in Cognitive Science) |
| Known for | Computational sustainability Algorithmic bias Machine Learning Natural Language Processing |
| Scientific career | |
| Fields | Computer Science |
| Institutions | Hugging Face Mila (research institute) |
| Thesis | STI-DICO: an intelligent tutoring system to foster dictionary skills for french teachers-in-training (2018) |
| Website | Personal website |
Sasha (Alexandra) Luccioni is a computer scientist who works on computational sustainability and algorithmic bias. Her research aims at quantifying and analyzing the carbon footprint of Deep learning models.
Education
Luccioni obtained a bachelor's degree in Linguistics from Sorbonne Nouvelle University Paris 3, Paris, France, followed by a master's degree in Cognitive Science from École normale supérieure (Paris). She did her master's research project at the National University of Córdoba in Córdoba, Argentina, where she studied language acquisition in virtual environments. She subsequently enrolled in a Ph.D. program in Cognitive computing at the Université du Québec à Montréal, where she wrote her doctoral thesis on the role of Artificial intelligence and Natural language processing in language acquisition[1], graduating in 2016.
Career and research
Luccioni started her career at Nuance Communications, where she worked on developing chatbots in applied application settings such as customer service. In 2017, she joined Morgan Stanley as the founding member of their Artificial Intelligence Center of Excellence. There, she worked on developing new techniques for Named-entity recognition and Sentiment analysis in financial settings, creating tools to help more informed investment management and quantitative analysis (finance). Her work was presented at conferences such as the Conference on Neural Information Processing Systems.
In 2019, Luccioni joined the Mila (research institute) to work with Yoshua Bengio, leading "This Climate Does Not Exist", a project that used Generative adversarial network approaches to create images of climate change impacts around the world. In 2020, Luccioni was named a National Geographic Explorer, receiving funding from the National Geographic Society in order to pursue the project.
Since 2021, Luccioni has been working at Hugging Face, where she leads efforts to assess and report the carbon footprint[2] of Transformer (machine learning model) as well as research the ethical and societal impacts[3] of Machine Learning models and datasets.
Leadership
Luccioni is dedicated to improving the representation of women working in machine learning, serving as a board member of Women in Machine Learning, an organization that aims to increase awareness and appreciation of the achievements of women in machine learning.[citation needed] She is also a member of the OECD AI Expert Group on AI Compute and Climate, whose goal is to assess & understand the impacts of AI compute on the environment.[citation needed]
References
- ↑ Luccioni, Alexandra (2018). STI-DICO: an intelligent tutoring system to foster dictionary skills for french teachers-in-training (PhD). Université du Québec à Montréal.
- ↑ Heikkilä, Melissa (November 14, 2022). "We're getting a better idea of AI's true carbon footprint". MIT Technology Review. Retrieved December 21, 2022.
- ↑ Rose, Janus (November 3, 2022). "This Tool Lets Anyone See the Bias in AI Image Generators". Vice. Retrieved December 21, 2022.
External links
This article "Sasha Luccioni" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.