Data Science Institute

Linda Clark

Senior Lecturer and Director of Undergraduate Studies, Data Science Institute and Sheridan Center

Biography

Dr. Linda Clark holds a joint appointment with the Data Science Institute and the Sheridan Center for Teaching and Learning at Brown.  Dr. Clark is responsible for developing an introductory Data Science Fluency undergraduate course, a Data Science Fellows course, and supporting the work of faculty integrating data science and data literacy into their classrooms. 

Before coming to Brown, Dr. Clark earned a Ph.D. in Higher Education and a Master’s degree in Counselor Education from Penn State University, and a B.A. degree in Psychology from Clark University. Dr. Clark’s career spans administrative positions supporting diversity initiatives, intercollegiate athletics, student support, and institutional research. Her faculty appointments include the Department of Statistics at Penn State and the Department of Educational Leadership at Central Connecticut State University. Dr. Clark’s research relates to the organizational aspects related to assessment and operations in higher education, including multiple interdisciplinary works examining assessment efforts of academic programs. Dr. Clark serves on multiple NSF grants examining student outcomes

Outside of academia, Dr. Clark consulted in corporate settings, designing, implementing, and executing statistical analyses as part of larger data science projects.  She also supported smaller-scale projects related to health care and customer surveys. 

Recent News

News from DSI

Faculty Spotlight: Linda Clark

Linda Clark, newly promoted to Senior Lecturer of Data Science, has been the driving force behind DSI’s undergraduate education programs at Brown.
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Brown’s Data Fluency Certificate provides undergraduate students with the opportunity to gain fundamental conceptual knowledge and technical skills in data analysis.
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News from DSI

Data Science Fellows in Action

Brown’s Data Science Fellows program pairs faculty members with Brown undergraduates who have data science skills and experience to bring to the project.
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