Héber Hwang Arcolezi
About Héber Hwang Arcolezi
Héber Hwang Arcolezi is a Postdoctoral Researcher at Inria, specializing in the ethical aspects of machine learning, particularly differential privacy. He has held various academic positions and earned degrees in Computer Science and Electrical Engineering from multiple institutions.
Current Role at Inria
Héber Hwang Arcolezi serves as a Postdoctoral Researcher at Inria, a prominent research institution in France. He has held this position since 2022, contributing to various research initiatives related to machine learning and data privacy. His work at Inria is centered around the ethical aspects of machine learning, particularly emphasizing differential privacy.
Previous Experience at École Polytechnique
Prior to his current role, Héber worked as a Teaching Assistant at École Polytechnique in Palaiseau, Île-de-France, France. He held this position for two months in 2022 and again for two months in 2023. During his tenure, he supported the educational process and assisted in the instruction of various courses.
Research Interests and Expertise
Héber's research interests focus on the ethical dimensions of machine learning, with a particular emphasis on differential privacy. He has developed expertise in privacy-preserving machine learning throughout his academic career, especially during his Ph.D. studies. His work aims to address the challenges associated with data privacy in machine learning applications.
Educational Background
Héber Hwang Arcolezi has an extensive educational background in engineering and computer science. He earned a Bachelor of Engineering in Electrical and Electronics Engineering from Universidade do Estado de Mato Grosso from 2012 to 2017. He then completed a Master of Engineering in Electrical and Electronics Engineering at UNESP from 2017 to 2019. He achieved his Doctorate in Computer Science at Université Bourgogne Franche-Comté from 2019 to 2022, focusing on data privacy.
International Experience
Héber has gained international experience through various academic roles. He served as a Visiting PhD Student at Universidade Federal de Minas Gerais in Brazil for one month in 2022 and at Université du Québec à Montréal in Canada for one month in 2021. Additionally, he worked as a Visiting Researcher at The University of British Columbia in Canada for two months in 2022. These experiences have enriched his research perspective and broadened his academic network.