Dr. Wallace is a biostatistician with a research emphasis on the development of statistical methods to enhance personalized medicine, including machine learning algorithms, clustering, and moderators. She primarily applies these methods to advance sleep, mood, and anxiety disorders research. Through her NIMH K01 (MH096944) focused on clustering, she developed methods to reveal homogenous subgroups based on high-dimensional multi-modal sleep data and applied clustering to define heterogeneity in cross-diagnostic samples. Following her K01, she received R01 support from the NIA (R01NIA056331) to develop a large, harmonized database including multiple sleep cohorts of older adults. With these data, she applies machine learning and her cutting-edge multivariable clustering approaches to study the association between multivariable sleep health and mortality in older adults. Dr. Wallace has also been integral in demonstrating and applying statistical methods for optimal combined moderators that utilize machine learning to characterize subgroups of individuals for whom one treatment or experimental condition may have a desirable or undesirable effect relative to the other.
- BA, Psychology and Statistics, St. Olaf College, 2004
- PhD, Biostatistics, University of Pittsburgh, 2009
- Postdoctoral Fellowship, Psychiatry, University of Pittsburgh, 2009-2011
- Postdoctoral Fellowship, Statistics, University of Pittsburgh, 2011-2013
Education & Training
Wallace ML, Redline S, Oryshkewych N, Hoepel SJW, Luik A, Stone KL, Conlon R, Chung J, Leng Y, Robbins R, Zhang Y, Barnes LL, Lim AS, Yu L, Buysse DJ. Pioneering a Multi-Phase Framework to Harmonize Self-Reported Sleep Data Across Cohorts. SLEEP 2024, zsae115, https://doi.org/10.1093/sleep/zsae115.
Wallace ML, Frank E, McClung C, Cote SE, Kendrick J, Payne S, Frost-Pineda, Leach J, Mathews MJ, Choudhury T, Kupfer DJ. A Translationally informed approach to vital signs for psychiatry: A preliminary proof of concept. NPP - Digital Psychiatry and Neuroscience. 2024; 2(14). doi: 10.1038/s44277-024-00015-8.
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. PubMed PMID: PMID: 37337173.
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. PubMed PMID: PMID: 37162763.
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. PubMed PMID: 35037946.
https://www.ncbi.nlm.nih.gov/myncbi/meredith.wallace.1/bibliography/public/