People
MSRL brings together faculty and students working across science of science, data science, information science, computational social science, biomedical research translation, natural language processing, trustworthy AI, and AI for science.
Co-directors
Assistant Professor
Ian uses quantitative analysis of information networks and machine learning to improve the research enterprise and accelerate biomedical research advances. Before UW-Madison, he worked as a data scientist at NIH, where he developed iCite metrics, the NIH Open Citation Collection, Relative Citation Ratio, and the NIH COVID-19 Portfolio.
Associate Professor
Chaoqun studies how science works, and how it can work better. Her research examines how science is organized, evaluated, corrected, and translated into impact, with current work on research integrity, AI and science, scholarly communication, scientific careers, and credit.
Students
Doctoral Student
Salsabil works at the intersection of data science, human-computer interaction, and machine learning, with an interest in extracting insight from data for real-world and health-related problems.
Doctoral Student
Xiang studies science of science, sociology of science, science policy, and evaluation, combining theoretical insight with empirical evidence from large-scale data.
Doctoral Student
Weiye is interested in science of science, scholarly data analytics, and scientometrics, with a data science background from Peking University.
Doctoral Student
Xi works in science of science, higher education, and AI for science.
Doctoral Student
Jialin studies intersections among science of science, computational social science, and scholarly communication.
Doctoral Student
Jiongxiao is interested in trustworthy machine learning, large language models, and AI for science.
Doctoral Student
Baolu works on machine learning, data science pipelines, and predicting future technological innovation.
Alumni
