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, Frank E, Kraemer HC. A novel approach for developing and interpreting treatment moderator profiles. JAMA Psychiatry. 2013 Nov;70(11):1241-7. doi: 10.1001/jamapsychiatry.2013.1960. PubMed PMID: 24048258.
Wallace ML. Time-dependent tree-structured survival analysis with unbiased variable selection through permutation tests. Stat Med. 2014 Nov 30;33(27):4790-804. doi: 10.1002/sim.6261. PubMed PMID: 25043382.
Wallace ML, Simsek B, Kupfer DJ, Swartz HA, Fagiolini A, Frank E. An approach to revealing clinically relevant subgroups across the mood spectrum. J Affect Disord. 2016 Oct; 203: 265-74. doi: 10.1016/j.jad.2016.06.019. PubMed PMID: 27314873.
Wallace ML, McMakin DL, Tan PZ, Rosen D, Forbes EE, Ladouceur CD, Ryan ND, Siegle GJ, Dahl RE, Kendall PC, Mannarino A (2017). The role of day-to-day emotions, sleep, and social interactions in pediatric anxiety treatment. Behav Res Ther. 2017 Mar;90:87-95. doi: 10.1016/j.brat.2016.12.012. PubMed PMID: 28013054.
Wallace ML, Stone K, Smagula SF, Hall MH Simsek B, Kado D, Redline S, Vo Tien, Buysse DJ, Osteoporotic Fractures in Men (MrOS) Study Research Group. Which sleep health characteristics predict all-cause mortality in older men? An application of flexible multivariable methods. SLEEP. 2018 Jan 1; 41(1). doi: 10.1093/sleep/zsx189. PubMed PMID: 29165696.
Wallace ML, Buysse DJ, Germain A, Hall MH, Iyengar S. Variable selection for skewed model-based clustering: Application to the identification of novel sleep phenotypes. J Am Stat Assoc. 2018; 113(521): 95-110. doi: 10.1080/01621459.2017.1330202
Wallace ML, Banihashemi L, O’Donnell C, Nimgaonkar VL, Kodavali C, McNamee R, Germain A. Using optimal combined moderators to define heterogeneity in neural responses to randomized conditions: Application to the effect of sleep loss on fear learning. NeuroImage 2018 Nov 1;181:718-727. doi:10.1016/j.neuroimage.2018.07.051 PubMed PMID: 29480752.
Wallace ML, Buysse DJ, Redline S, Stone K, Ensrud K, Leng Y, Ancoli-Israel S, Hall MH. Multidimensional sleep and mortality in older adults: A machine-learning comparison with other risk factors. The Journals of Gerontology, Series A, Epub Ahead of Print. doi: 10.1093/gerona/glz044.