CHSE Faculty
Faculty at the Forefront
The College of Human Sciences & Education faculty are at the forefront — making the world a better place to live.
CHSE faculty cultivate future leaders who are innovative problem-solvers that seek to have a positive impact on society. We develop cutting-edge, high-quality research and leverage human capital to address the most pressing societal challenges facing the state, nation, and world.
We are committed to pursuing the highest and best version of ourselves, knowing that our excellence can empower transformation in the world.
74
Tenure or Tenure-track Faculty
2022-2023
222
Articles Published
2021-2022
$7.7M
Total Research Expenditures
2021-2022
Meet the CHSE Faculty
CHSE Faculty reside in the College's five academic units that are devoted to developing leaders and scholars of the future and creating and disseminating knowledge through transformational research.
Faculty News
The College of Human Sciences & Education's faculty honored as this year's recipients of university-wide distinguished faculty awards include: Senlin Chen, PhD | LSU Distinguished Faculty Award, School of Kinesiology; Jennifer Baumgartner, PhD | LSU Alumni Association Faculty Excellence Award, Lutrill & Pearl Payne School of Education; and Jennifer Scott, PhD | LSU Alumni Association Rising Faculty Research Award, School of Social Work
Senlin Chen, PhD has been awarded a research grant from the Louisiana Department of Health (LDH) to study the behavioral and social determinants of health in Medicaid-eligible children. The LDH's Louisiana Medicaid Program has granted $335,000 to fund this project, with LSU contributing $335,000 in match funds over two years, resulting in a total of $670,000.
The LSU College of Human Sciences & Education named Laura Hensley Choate, currently the interim director of the LSU Lutrill & Pearl Payne School of Education, as the next director of the school. Choate will begin this role on April 1.
Seungwon Yang holds a joint position with the School of Library & Information Science (SLIS) and the Center for Computation & Technology (CCT). During the past year, Yang collaborated with multiple universities to leverage artificial intelligence (AI) in the identification of breast cancer within mammogram images. Yang's use of AI grew from discussions with colleagues at the Deep Learning Summit in Boston. As Yang discovered, breast cancer diagnosis from mammogram images remains shockingly low and inconsistent among radiologists. The low diagnosis rates frequently require patient reexamination with repeated radiation exposure and missed cancer cells.