Manuel Franco Sevilla

Dr. Manuel Franco Sevilla is shaping the future of particle physics as an Assistant Professor in the Physics Department at the University of Maryland, College Park. With a keen focus on testing Lepton Flavor Universality, Dr. Franco Sevilla is at the forefront of exploring fundamental questions in particle physics. His work is instrumental in developing the next generation of simulation techniques, leveraging the power of machine learning to enhance the precision and efficiency of these models. Dr. Franco Sevilla's expertise extends to the development and operation of readout electronics for the new Upstream Tracker detector, a critical component in modern particle detection. His contributions to detector electronics are pivotal in advancing the capabilities of particle physics experiments, ensuring that data collection is both accurate and reliable. He earned his Ph.D. in Applied Physics from Stanford University in 2012, where he honed his skills and deepened his understanding of complex physical systems. Following his doctoral studies, Dr. Franco Sevilla undertook a postdoctoral position at the University of California, Santa Barbara, collaborating with renowned physicist Jeff Richman. This experience further solidified his expertise in detector technology and experimental physics. Dr. Franco Sevilla's career includes significant involvement with the CMS experiment at CERN, particularly during the period when the Large Hadron Collider (LHC) increased its energy to 13 TeV. During this time, he led the production of the Optical DAQ MotherBoards for the Cathode Strip Chambers in the CMS muon system, showcasing his leadership and technical skills in high-energy physics. His research interests are diverse, encompassing machine learning, readout electronics, and simulation techniques, all of which contribute to his overarching goal of advancing our understanding of the universe. Dr. Franco Sevilla's work not only pushes the boundaries of what is possible in physics research but also inspires the next generation of scientists to explore the unknown.