Runze Li Named Fellow of AAAS

November 20, 2017:RLi Fellow

Congratulations to Methodology Center Investigator Runze Li for being named a 2017 Fellow of the American Association for the Advancement of Science (AAAS). AAS Fellows are recognized for their contributions to science and technology. Runze is one of only seven statisticians recognized by AAAS this year. AAAS is the world’s largest general scientific society and publisher of the journal Science.

Runze’s research focuses on methods for the analysis of intensive longitudinal data and for variable selection and variable screening. His work led directly to the development of our SAS macro for time-varying effect modeling (TVEM), and his current work will enable scientists to identify which genetic, individual, and social factors predict drug abuse, HIV-risk behavior, and related health behaviors.

Read more about Runze.

Runze Li Receives Distinguished Achievement Award from ICSA

September 14, 2017:rli17
Congratulations to Methodology Center Principal Investigator Runze Li for winning the 2017 Distinguished Achievement Award from The International Chinese Statistical Association (ICSA). ICSA is recognizing Runze for his research on variable selection, nonparametric and semiparametric modeling, and modeling for computer experiments. ICSA also specifically noted his interdisciplinary research—including his work here at The Methodology Center—and professional service.

Runze Li is Verne M. Willaman Professor of Statistics at Penn State. The Distinguished Achievement Award joins a long list of accolades he has earned, including the 2016 Canadian Journal of Statistics award, the 2012 United Nations’ World Meteorological Organization Gerbier-Mumm International Award, and being named a “Highly Cited Researcher” every year since 2014. In his current research on variable selection and variable screening, he is developing methods to analyze genetic data with intensive longitudinal data. This work will allow scientists to identify which genetic, individual, and social factors predict drug abuse, HIV-risk behavior, and related health behaviors.

Runze Li Identified as “Highly Cited”

January 20, 2016:

Congratulations to Runze Li for being named a Highly Cited Researcher by Thomson Reuters for the second consecutive year. Runze’s work is characterizedRLI as “mathematics” (which is extremely broad), and he is still one of only 99 researchers from his field to be designated as “Highly Cited.” During Runze’s 13 years at The Methodology Center, he has pioneered new statistical methods and worked to translate and disseminate those methods to behavioral researchers. His research focuses on the analysis of intensive longitudinal data (ILD) and high-dimensional data. He led the development of Methodology Center software for variable selection in high-dimensional data and software for analyzing ILD, including a SAS macro for time varying-effect modeling. Runze shows no signs of slowing down, so he might appear on this list for years to come. Congratulations, Runze!