Roger Moussalli
About Roger Moussalli
Roger Moussalli serves as Vice President and Quantitative Software Engineer at Two Sigma, where he applies his expertise in computer architecture and embedded systems design. He has a diverse background, including previous roles at IBM and academic positions at the University of California, Riverside.
Current Role at Two Sigma
Roger Moussalli serves as Vice President, Quantitative Software Engineer at Two Sigma, a position he has held since 2022. In this role, he applies his expertise in computer architecture and embedded systems design to enhance high-performance computing solutions. His responsibilities include overseeing the development and implementation of quantitative software systems that support the firm's investment strategies.
Previous Experience at Two Sigma
Prior to his current role, Roger Moussalli worked at Two Sigma in various capacities. He served as Vice President, Engineering Manager from 2021 to 2022, and as Software Engineer, Technical Lead from 2017 to 2019. His tenure at Two Sigma involved leading engineering teams and managing projects that integrated advanced quantitative methods into software solutions.
Career at IBM
Roger Moussalli has an extensive background at IBM, where he worked from 2011 to 2017. He began as a Research Intern in 2011 and again in 2012, before becoming a Research Staff Member from 2013 to 2017. His work at IBM focused on research and development in computing technologies, contributing to advancements in various projects during his time there.
Educational Background
Roger Moussalli earned his PhD in Computer Science from the University of California, Riverside, where he studied from 2008 to 2013. He also completed his Bachelor of Engineering in Electrical and Computer Engineering at the American University of Beirut from 2003 to 2007, graduating with Distinction. His academic background laid the foundation for his expertise in computer architecture and embedded systems.
Research Interests and Specializations
Roger Moussalli specializes in computer architecture and embedded systems design, which are integral to his role in quantitative software engineering. His research interests include reconfigurable computing, with a specific focus on Field Programmable Gate Arrays (FPGAs). This expertise supports his contributions to high-performance computing initiatives.