Ilaria Lauzana
About Ilaria Lauzana
Ilaria Lauzana is a data scientist with a strong educational background in Robotics and Autonomous Systems, as well as Computer Engineering and Electronic and Information Engineering. She has worked in various roles across academic and industry settings, including her current position at the World Food Programme and previous roles at notable institutions such as EPFL and Largo.
Work at World Food Programme
Ilaria Lauzana currently serves as a Data Scientist at the World Food Programme, a position she has held since 2022. Her role involves utilizing data science techniques to support the organization's mission to combat hunger and improve food security globally. The World Food Programme is recognized for its commitment to providing food assistance in emergencies and working with communities to improve nutrition and build resilience.
Education and Expertise
Ilaria Lauzana holds a Master's Degree in Robotics and Autonomous Systems from École polytechnique fédérale de Lausanne, a leading institution known for its research and innovation. She also earned a Bachelor's Degree in Electronic and Information Engineering from Shanghai Tongji University and a Bachelor's Degree in Computer Engineering from Politecnico di Torino. Her educational background provides her with a solid foundation in data science, robotics, and engineering principles.
Professional Experience
Ilaria Lauzana has extensive experience in data science, having worked in various roles across different organizations. She was a Senior Data Scientist and Tech Lead at Largo from 2020 to 2021. Prior to that, she worked as a Data Scientist at Everli for five months in 2022 and completed a Master Thesis Project at Pomelo sàrl in 2017. Her experience also includes roles at EPFL, where she served as a Teaching Assistant in Machine Learning and as a Research Assistant.
Projects and Research Initiatives
Throughout her career, Ilaria Lauzana has engaged in several significant projects. At EPFL, she worked on a semester project focused on online segmentation for multivariate sequential data, demonstrating her capability in complex data analysis. Additionally, she contributed to a project on vision for an air hockey robot. Her involvement in these projects reflects her ability to apply theoretical knowledge to practical challenges in data science and robotics.
Interest in Natural Language Processing
Ilaria Lauzana has a strong interest in Natural Language Processing (NLP) and is actively expanding her knowledge in this field. This interest aligns with her data science expertise and enhances her ability to work with complex datasets, particularly those involving human language. Her ongoing pursuit of knowledge in NLP indicates her commitment to staying current with advancements in data science and its applications.