Giuseppe Passucci
About Giuseppe Passucci
Giuseppe Passucci is a Senior Machine Learning Engineer with a PhD in Condensed Matter and Materials Physics from Syracuse University. He has extensive experience in machine learning, having worked at SRC in various roles since 2018.
Work at SRC
Giuseppe Passucci currently holds the position of Senior Machine Learning Engineer at SRC, a role he has been in since 2023. Prior to this, he served as Lead Machine Learning Engineer at the same organization from 2018 to 2023. His work at SRC focuses on developing and implementing machine learning solutions, contributing to advancements in technology and research within the organization. SRC is known for its commitment to innovation and excellence in engineering and scientific research.
Education and Expertise
Giuseppe Passucci earned his Doctor of Philosophy (PhD) in Condensed Matter and Materials Physics from Syracuse University, where he studied from 2012 to 2018. He also holds a Bachelor of Science (B.S.) in Physics from the University of Notre Dame, completed from 2008 to 2012. His educational background provides a strong foundation in both theoretical and applied physics, equipping him with the skills necessary for his work in machine learning and engineering.
Background
Giuseppe Passucci began his academic journey at the University of Notre Dame, where he completed his undergraduate studies in Physics. He then pursued advanced studies at Syracuse University, focusing on Condensed Matter and Materials Physics. During his time at Syracuse University, he worked as a Graduate Research Fellow from 2012 to 2018, gaining valuable research experience that contributed to his expertise in the field.
Professional Experience
Before his current role as Senior Machine Learning Engineer, Giuseppe Passucci accumulated significant experience at SRC. He worked as Lead Machine Learning Engineer from 2018 to 2023, where he was responsible for overseeing machine learning projects and leading teams in the development of innovative solutions. His progression within SRC reflects his growing expertise and contributions to the field of machine learning.