Ruben Glatt
About Ruben Glatt
Ruben Glatt is a Senior Staff Researcher in Machine Learning at Lawrence Livermore National Laboratory, focusing on collaborative autonomy in multi-agent systems and interpretable machine learning. He has an extensive background in research and engineering, with degrees in Mechatronics, Mechanical Engineering, and a Ph.D. in Machine Learning.
Work at Lawrence Livermore National Laboratory
Ruben Glatt currently serves as a Senior Staff Researcher in Machine Learning at Lawrence Livermore National Laboratory, a position he has held since 2022. Prior to this role, he worked as a Staff Researcher in Machine Learning from 2021 to 2022 and as a Postdoctoral Researcher in Machine Learning from 2019 to 2021. His work focuses on developing methods for collaborative autonomy in multi-agent systems and interpretable machine learning. Additionally, he coordinates the Engineering postdoc population at the laboratory and represents their interests on the Institutional Postdoc Program Board.
Education and Expertise
Ruben Glatt has a strong academic background in engineering and machine learning. He earned a Doctor of Philosophy (Ph.D.) in Machine Learning from Universidade de São Paulo from 2015 to 2019. He also holds a Master of Engineering (MEng) in Mechanical Engineering from Universidade Estadual Paulista Júlio de Mesquita Filho, completed between 2012 and 2014. His undergraduate studies were at Karlsruher Institut für Technologie (KIT), where he achieved a Diplom-Ingenieur in Mechatronics from 2004 to 2011. His research interests include applying machine learning techniques to enhance decision-making in energy and smart mobility systems.
Background
Ruben Glatt has diverse professional experience across various organizations. He worked at UNESP as a Research Assistant from 2012 to 2014 in Guaratinguetá, Brazil. Prior to that, he held roles at 1&1 Internet AG as part of the Datacenter Engineering and Datacenter Special Forces teams from 2001 to 2011 in Karlsruhe, Germany. He also worked as a Technical and Business Interviewer at Strand Writing & Design in London from 2010 to 2011. His involvement with PAPIs.io as Lead Organizer from 2017 to 2019 further showcases his commitment to the machine learning community.
Achievements
Ruben Glatt has made significant contributions to the field of machine learning and collaborative autonomy. He serves as Vice-Chair of the IEEE Computer Society for the San Francisco, Oakland, and East Bay areas, indicating his leadership within the professional community. His research explores the benefits of generative modeling for scientific discovery, aiming to accelerate scientific progress. Additionally, his experience as a Research Intern at Microsoft in 2018 adds to his practical knowledge in the field.