About

Benjamin Welton is a highly accomplished Research Scientist with a strong background in Computer Science. He is currently employed at meta, where he works on Search Indexing Infra. With 2.87 years of relevant experience, Benjamin has made significant contributions to the field of performance tool techniques and extreme scale clustering methods. Benjamin's past work experience includes being a Summer Scholar at Lawrence Livermore National Laboratory, where he ported the binary instrumentation components of Diogenes to PowerPC architectures. He also worked as a Graduate Research Assistant at the University of Wisconsin-Madison, where he researched new performance tool techniques that led to the development of the performance tool Diogenes. He also developed a new extreme scale clustering method performing the Density-based spatial clustering of applications with noise (DBSCAN) algorithm. Benjamin's education history includes a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Wisconsin-Madison, a Master's degree in Computer Science from the same institution, and a Bachelor's degree in Computer Science from Western Michigan University. Benjamin's technical skills include research, search, and infra. He is a highly motivated individual who is passionate about making a difference in the field of computer science. His achievements in the field of performance tool techniques and extreme scale clustering methods have made him a valuable asset to any organization.