Pedro Bizarro
About Pedro Bizarro
Pedro Bizarro serves as the Chief Science Officer at Feedzai and has extensive experience in data stream processing and anomaly detection. He holds a PhD in Computer Science from the University of Wisconsin-Madison and has contributed to over 100 patents and publications in his field.
Work at Feedzai
Pedro Bizarro has served as Chief Science Officer at Feedzai since 2008. In this role, he focuses on advancing the company's capabilities in data stream processing and anomaly detection. His leadership has contributed to the development of innovative solutions in fraud detection and risk management. Bizarro's extensive experience in the field enhances Feedzai's position as a leader in AI-driven financial technology.
Education and Expertise
Pedro Bizarro holds a PhD in Computer Science from the University of Wisconsin-Madison, where he studied from 2001 to 2006. He also earned a Master's degree in Computer Science from Universidade Nova de Lisboa from 1998 to 2001. Additionally, he has a Licenciatura in Computer Science from Universidade de Coimbra, completed between 1992 and 1998. His academic background provides a strong foundation for his research and professional activities in AI and machine learning.
Background
Bizarro's career includes significant roles in academia and industry. He worked as a Research Assistant at the University of Wisconsin-Madison from 2001 to 2006. He held positions at Carnegie Mellon University as an Adjunct Visiting Teaching Professor from 2007 to 2011 and at Universidade de Coimbra as an Assistant Professor from 2006 to 2011. He has also interned at Microsoft Research in 2005. His diverse background spans research, teaching, and practical applications in technology.
Achievements
Pedro Bizarro has co-authored over 100 patents and publications, contributing to advancements in data processing and anomaly detection. He is a member of the World Economic Forum's Global Innovator Programme since 2021 and has been involved with IEEE's Algorithmic Bias Working Group since 2018. Bizarro has also received recognition as a winner of the BES Innovation National Competition. His research has been presented at various conferences, including AAAI-24 and KDD Workshop on Machine Learning in Finance 2023.
Research Contributions
Bizarro has made significant contributions to AI research, focusing on explainable machine learning methods and causal concept-based explanations. He has published research at notable conferences, including CLeaR 2024 and ICAIF23. His work includes contributions to adversarial training for tabular data and the development of the FiFAR fraud detection dataset. These efforts highlight his commitment to advancing the field of artificial intelligence and its applications in finance.