Gwen Vredevoogd

Academic Credentials

B.A., Edinboro University
M.A., Ohio University
M.L.S., University of Pittsburgh

Biography

Other Information

Liaison Areas

 

  • Literature & Languages

  • Education

Research Interests

Gwen Vredevoogd’s research interests include collection analysis and assessment, intellectual freedom issues, and the intersection of writing instruction and information literacy.

In addition to serving as a library liaison, Gwen Vredevoogd coordinates collection development and management in all formats to support the curriculum and research needs of the Marymount community, provides reference services, and information literacy instruction. Gwen joined Marymount University in 1997 as Reference Librarian/Outreach Coordinator and transitioned to collection development in 2001. Prior to coming to Marymount, she served as a Health Information Librarian and Adult Services Librarian at Montgomery County Public Libraries.

Teaching Area

Research Interests

Publications

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Julianne Iannone

Program Assistant, School of Business and Techology College of Business, Innovation, Leadership and Technology […]

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Michelle Lee

Academic Credentials
BS, University of Texas Medical Branch
MPT, University of Texas Medical Branch
DPT, Shenandoah University

Licensed Physical Therapist in Virginia
Board-Certified Clinical Specialist in Wound Management Physical Therapy
Certified Wound Specialist

Biography
Dr. Lee received her Bachelor of Science in Health Care Sciences from the University of Texas Medical Branch in 1997, her MPT from the University of Texas Medical Branch in 1999, and her transitional DPT from Shenandoah University in 2019.

Dr. Lee has been a Certified Wound Specialist (CWS) through the American Board of Wound Management since 2004 and was named a Wound Management Clinical Specialist by the American Board of Physical Therapy Specialties in the inaugural group in 2022. Dr. Lee’s clinical wound management experience has been in acute care, burn trauma, home health, outpatient and long-term care settings. She has practiced in acute care for 25 years. Currently, her acute care practice is at Inova Loudoun Hospital, and she consults in wound management for LivinRite Home Health.

Dr. Lee has served as an item writer for the Wound Management Clinical Specialist Exam over the past 3 years and is currently on 2 committees to update the 2025 National Pressure Injury Advisory Panel Clinical Practice Guidelines.

Teaching Areas
Clinical Education, Evaluation & Management of Patients in Acute Care, Wound Management

Research Interests
Clinician Bias, Clinical Education, Falls Prevention

Publications
Ro, T., Noser, E., Boake, C., Johnson, R., Gaber, M., Speroni, A., Bernstein, M.*, De Joya, A., Scott Burgin, W., Zhang, L., Taub, E., Grotta, J. C., & Levin, H. S. (2006). Functional reorganization and recovery after constraint-induced movement therapy in subacute stroke: case reports. Neurocase, 12(1), 50–60. https://doi.org/10.1080/13554790500493415
*Bernstein is Dr. Lee’s maiden name […]

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Catherine Diaz-Asper

Academic Credentials

B.A., University of Auckland, New Zealand
M.A., University of Auckland, New Zealand
Ph.D., The George Washington University
Post-doctoral : Johns Hopkins University School of Medicine (Dept. of Psychiatry & Behavioral Sciences); National Institute of Mental Health (Clinical Brain Disorders Branch)
Licensed Psychologist, Maryland (currently inactive)

Biography

Dr. Diaz-Asper is a cognitive neuropsychologist by training, with a background and interest in teaching about the brain and behavior and conducting clinical research. Prior to coming to Marymount University, she worked both as a clinician and researcher, completing two different post-doctoral internships, at Johns Hopkins Hospital and the National Institutes of Mental Health. During this time, she conducted neuropsychological evaluations of cognitively-impaired adults, and also designed and implemented a number of research studies.  

Most recently, her research has focused on applying computational methods like natural language processing and machine learning to the speech of older people to predict cognitive decline and dementia. She has authored several articles and received grant funding from the National Institutes of Health and Rotary USA’s CART Fund for this work.

Teaching Area

  • Biological Bases of Behavior
  • Learning & Cognition
  • Research Design for Psychology
  • Senior Seminar

Research Interests

  • Memory and cognition in dementia and mental illness
  • Health disparities in aging and dementia
  • Using automated analyses of language to predict cognitive function and mental state
  • Ethical use of artificial intelligence (speech technologies) in clinical and research applications

Publications

For the most current listing, please check: https://www.ncbi.nlm.nih.gov/myncbi/catherine.diaz-asper.2/bibliography/public/

Heyn PC, Gross M, Gopaul U, Ogawa E, Diaz-Asper C, Devos H, Terhune EA, Harden JT. (2025). What is Mild Cognitive Impairment (MCI)? A Guide for Patients, Families, and Caregivers. Arch Phys Med Rehabil., S0003-9993(25)00709-9. https://doi.org/10.1016/j.apmr.2025.05.007
Divers R, Cohen AS, Elvevåg B, Chandler C, Turner RS, Reynolds B, Diaz-Asper C. (2025). Speech production as an artificial intelligence-based ‘process’ measure of cognition sensitive to mild cognitive impairment and Alzheimer’s disease. Clin Neuropsychol., 1-16. doi: 10.1080/13854046.2025.2519827
Diaz-Asper, C., Hauglid, M.K., Chandler, C., Cohen, A.S., Foltz, P.W., & Elvevåg, B. (2024). A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications and solutions. American Psychologist, 79(1), 79-91. https://doi.org/10.1037/amp0001195
Chandler, C., Diaz-Asper, C., Turner, R. S., Reynolds, B., & Elvevåg, B. (2023). An explainable machine learning model of cognitive decline derived from speech. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 15:e12516. https://doi.org/10.1002/dad2.12516
Diaz-Asper, C., Chandler, C., Turner, R. S., Reynolds, B., & Elvevåg, B. (2022). Increasing access to cognitive screening in the elderly: applying natural language processing methods to speech collected over the telephone. Cortex, 156, 26-38. https://doi.org/10.1016/j.cortex.2022.08.005
Diaz-Asper, C., Chandler, C., Turner, R. S., Reynolds, B., & Elvevåg, B. (2021). Acceptability of collecting speech samples from the elderly via the telephone. Digital Health. https://doi.org/10.1177/20552076211002103

For Selected Presentations, please add the below:

Diaz-Asper, C., Dagne, M., Terhune, E., Staker, E., & Heyn, P. (2025). Artificial Intelligence (AI) as a cognitive function digital biomarker: analyzing speech in older individuals. In GSA 2025 Annual Scientific Meeting; Nov 13-16; Boston, MA. Innovation in Aging: GSA; 2025.

Diaz-Asper, C., Chandler, C. & Elvevåg, B. (2024). Promoting trust in AI: the case of language technologies. In GSA 2024 Annual Scientific Meeting; Nov 13-16; Seattle, WA. Innovation in Aging: GSA; 2024.

Diaz-Asper, C. (2021). Combining high tech and low tech approaches to increase accessibility to cognitive screening in the elderly. Proceedings of the 2021 Technology, Mind & Society Conference. https://tmb.apaopen.org/pub/cskoammw/release/1?readingCollection=2b90877e

 

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