Faculty

Meredith L Wallace, PhD

Meredith L Wallace, PhD

Associate Professor of Psychiatry and Biostatistics

Contact Details

3811 O'Hara St.
Pittsburgh
 
PA
 
15213
Email
Website
Study Design and Analysis Group in Psychiatry
Center for Sleep and Circadian Science
Assistant
Linda Willrich
willrichl@upmc.edu

Education & Training

PhD
Biostatistics, University of Pittsburgh, Graduate School of Public Health

Research Interests

Machine learning; Sleep; Methods for NIMH RDoC data
Selected Research Publications & Products
  1. Wallace ML, Wheeler BJ, Tapia AL, Richards, M, Zhou S, Yi L, Redline S & Buysse DJ. Use and misuse of machine learning variable importance metrics in medicine: Demonstrations through incident stroke prediction. BMC Medical Research Methods. 2023 Jun 19;23(1):144. doi: 10.1186/s12874-023-01965-x.
  2. Wallace ML, Lee S, Stone KL, Hall MH, Smagula SF, Reline S, Ensrud K, Ancoli-Israel S & Buysse DJ. Actigraphy-derived sleep health profiles and mortality in older men and women. SLEEP. 2022 Apr; 45(4):zsac015. doi: 10.1093/sleep/zsac015.
  3. Wallace ML, McTeague L, Graves JL, Kissel N, Tortora C, Wheeler B & Iyengar S. Quantifying distances between non-elliptical clusters to enhance the identification of meaningful emotional reactivity subtypes. Data Science in Science. 2022; 1(1): 34-59. doi: 10.1080/26941899.2022.2157349.
  4. Wallace ML, Kissel N, Hall MH, Germain A, Matthews KA, Troxel WM, Franzen PL, Buysse DJ, Reynolds CF III, Monk T, Roecklein KA, Gunn HE, Hasler BP, Goldstein TR, McMakin DL, Szigethy E & Soehner AM. Age trends in actigraphy and self-report sleep across the lifespan: Findings from the Pittsburgh Lifespan Sleep Databank. Psychosom Med. 2022 May; 84(4): 410-420. doi: 10.1097/PSY.0000000000001060.
  5. Wallace ML, Yu L, Buysse DJ, Stone K, Redline S, Smagula SF, Stefanick ML, Kritz-Silverstein D & Hall MH. Multidimensional sleep health domains in older men and women: An actigraphy factor analysis. SLEEP 2020 Sep 12;zsaa181. doi: 10.1093/sleep/zsaa181.

Education Interests

Statistical methods

Pitt Psychiatry Research Published in Alzheimer's & Dementia

Investigators

Pitt Psychiatry investigators have recently published studies in Alzheimer's & Dementia. Below is a summary of recent original research on neural factors underlying cognitive and depressive symptoms in late life, sleep and rest–activity rhythms across different cognitive aging pathways, and the association between attention-deficit/hyperactivity disorder and Alzheimer’s disease. Altered Triple Network Model...

Molecular Psychiatry: Improved Implicit Self-Esteem Is Associated With Extended Antidepressant Effects Following a Novel Synergistic Intervention

Dr. Eken and Dr. Price

The most effective treatments for depression include pharmacotherapy and psychotherapy, but a pressing need remains for rapid, efficacious treatments. While the administration of ketamine can reduce depressive symptoms within two to 24 hours, these effects dissipate in a brief period following a single infusion. Rebecca Price, PhD (Associate Professor of Psychiatry and Psychology), and colleagues wanted to see...

Pitt Psychiatry Awarded $17.8M National Institute of Mental Health U01 Grant Focused on Sleep and Pediatric Mental Health

Dr. Wallace & Dr. Soehner

The National Institute of Mental Health has awarded Pitt Psychiatry a multi-PI, multi-site U01 award focused on applying computational methods to identify sleep signatures predictive of mental health outcomes among youth engaged in pediatric primary care. The Pediatric Precision Sleep Network (PPSN) will be led by contact principal investigator Adriane Soehner, PhD (Associate Professor of Psychiatry), and multiple...

Health Psychology: Effect of Daily Discrimination on Naturalistic Sleep Health Features in Young Adults

Dr. Sarah Pedersen

Poor sleep health is associated with negative physical and mental health outcomes. Some populations—including Black individuals and those with other minoritized racial and ethnic identities—experience inequities in sleep health. The determinants of sleep health inequities are complex and include social, environmental, behavioral, and biological factors. In particular, interpersonal discrimination can contribute to...