Hugo Ferreira
About Hugo Ferreira
Hugo Ferreira is the Director of AI Research at Feedzai and an instructor at Lisbon Data Science Academy. He has a strong background in data science and mathematics, with published work in machine learning and experience in various research and leadership roles.
Current Role at Feedzai
Hugo Ferreira serves as the Director of AI Research at Feedzai, a position he has held since 2024. In this role, he leads initiatives focused on advancing artificial intelligence applications within the company. His responsibilities include overseeing research projects and guiding teams in the development of innovative solutions that enhance Feedzai's capabilities in data science and machine learning.
Previous Experience at Feedzai
Prior to his current role, Hugo Ferreira held several positions at Feedzai, including Senior Data Scientist, Research Data Science Senior Manager, and Data Science Lead. His tenure at Feedzai spanned from 2018 to 2024, during which he contributed to various projects and initiatives that leveraged data science to improve financial security and fraud detection.
Education and Expertise
Hugo Ferreira has an extensive educational background in mathematics and physics. He earned a Doctor of Philosophy (Ph.D.) in Mathematics from the University of Nottingham, a Master of Advances Studies (MASt) in Applied Mathematics from the University of Cambridge, and a Master of Science (M.Sc.) in Physics from Instituto Superior Técnico. Additionally, he has completed a post-graduate researcher position in Mathematics and Theoretical Physics, which laid the foundation for his transition into data science.
Teaching and Community Involvement
Since 2019, Hugo Ferreira has been an instructor at the Lisbon Data Science Academy, where he shares his knowledge and expertise with aspiring data scientists. He is actively involved in the local data science community, occasionally organizing meet-ups to foster collaboration and learning among professionals in the field.
Research Contributions
Hugo Ferreira has made significant contributions to the field of data science, particularly in adversarial training for tabular data with attack propagation. His research was presented at the KDD Workshop on Machine Learning in Finance in 2023, showcasing his commitment to advancing the understanding and application of machine learning techniques in finance.