Duncan Temple Lang

Duncan Temple Lang is a Professor in the Department of Statistics and Associate Dean for Graduate Programs at the University of California, Davis. He previously served as Director of the Data Sciences Initiative at UC Davis and has been a faculty member since 2004. His work bridges statistics, computer science, and data science through the development of advanced computational tools.

His research focuses on enhancing the R programming language and statistical computing ecosystems. Key areas include language compilation using LLVM, parallel and distributed computing, GPU acceleration (RCUDA), web-based data access (RCurl), and dynamic visualization. He emphasizes software integration across disciplines via the inter-system interface model, enabling seamless data and code exchange between environments.

His recent publications center on data technologies in R and data science education, reflecting a strong commitment to both innovation and pedagogy. These works highlight trends in reproducibility, modern web-based data pipelines, and computational reasoning.

• Associate Dean for Graduate Programs, UC Davis
• Former Director, Data Sciences Initiative, UC Davis
• Active contributor to R packages and statistical computing infrastructure

Lang has received no explicitly mentioned scientific awards in the provided texts. He advises graduate students and leads research projects involving compilation tools, language interoperability, and data science education, though specific advisees are not listed. He leads the Omegahat project and develops key R packages such as Rllvm, RCurl, and RCUDA, fostering a collaborative research environment focused on future-ready statistical computing.