Team members	Expertise	Link to Publications
Massimiliano de Zambotti, PhD	Dr. de Zambotti is a Principal Scientist at SRI International and an expert in wearable sleep technology. He has been involved in several initiatives and international collaborations to investigate the performance, standardization, informed use, and regulation of sleep technology. Of relevance, he co-authored the position statement following the “International Biomarkers Workshop on Wearables in Sleep and Circadian Science” that was held at the 2018 SLEEP Meeting of the Associated Professional Sleep Societies. He introduced and operationalized practical guidelines for evaluating the performance of sleep technology vs. reference and reviewed capability, rationale, and limitation of sleep technology.	https://scholar.google.com/citations?user=PsR6NFYAAAAJ&hl=en
Luca Menghini, PhD	Dr. Menghini is a postdoctoral research fellow at University of Bologna working on the development and improvement of innovative methods in occupational health and sleep assessment, particularly focusing on Ecological Momentary Assessment designs. Having evaluated the performance of several multi-sensor wearable devices for both diurnal and nocturnal psychophysiological, he has recently proposed an R-based analytical pipeline for evaluating consumer sleep technologies.	https://scholar.google.it/citations?user=ZFRn4ssAAAAJ&hl=en
Michael Grandner, PhD	Dr. Grandner is the Director of the Sleep and Health Research Program at the University of Arizona College of Medicine and the Behavioral Sleep Medicine Clinic at the Banner-University Medical Center in Tucson, Arizona. He is Associate Professor of Psychiatry, Medicine, Psychology, Nutritional Sciences, and Clinical Translational Science. His research has focused on real-world implications of sleep health, including the development, evaluation, and implementation of sleep health technology.	https://scholar.google.com/citations?user=ePsVuAgAAAAJ&hl=en
Susan Redline, PhD	Dr. Susan Redline is the Farrell Professor of Sleep Medicine, Harvard Medical School, and Director of the Program in Sleep Medicine Epidemiology at Harvard Medical School. She has directed multiple large cohorts and clinical trials and co-directs the National Sleep Research Resource, a NIH funded sleep data repository that shares about 2TB of sleep data per week to the greater community.	https://scholar.google.com/citations?user=xWLZ_wgAAAAJ&hl=en
Ying Zhang, PhD	Dr. Ying Zhang is a data scientist is a Data Scientist for the National Sleep Research Resource (NSRR), a NHLBI-data and tool resource repository offering free access to large collection of polysomnography, actigraphy and other phenotype data at Brigham and Women’s Hospital. She is currently leading the data harmonization and metadata standards development at the NSRR. Prior to joining Brigham and Women’s Hospital, Dr. Zhang led data collection, harmonization, as well as construction and management of a consortium database of multiple national cohorts at the Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities. Dr. Zhang has previously worked as a research fellow at various non-profit organizations including the National Academy of Medicine, specialized in data modeling and visualization to inform policy decisions.	https://scholar.google.com/citations?hl=en&user=snjAPHMAAAAJ
Meredith Wallace, PhD	Dr. Wallace is a biostatistician and Associate Professor of Psychiatry, Statistics, and Biostatistics at the University of Pittsburgh. With funding from the National Institute on Aging, her primary research program is focused on developing, adapting, and applying state-of-the-art machine learning approaches to determine which dimensions of multidimensional sleep health predict mental and physical health outcomes in older adults. Through this work, she harmonizes data across cohorts to perform rigorous external evaluations of predictive algorithms. In addition, Dr. Wallace is a statistical co-investigator on several studies evaluating the use of machine learning for improving sleep-related technologies.	https://scholar.google.com/citations?user=VxqPl8IAAAAJ&hl=en&oi=sra
Orfeu Buxton, PhD	Dr. Buxton, Elizabeth Fenton Susman Professor of Biobehavioral Health at Penn State, directs the Sleep, Health, & Society Collaboratory. His completed and ongoing interdisciplinary studies in free-living humans of all ages address sleep health and wellbeing across the life course, with sleep usually measured by wearable devices. In addition to extensive experience with large-scale, longitudinal studies, he has co-authored device, algorithm, and machine learning algorithm evaluations.	https://scholar.google.com/citations?user=DP_YDXoAAAAJ https://pennstate.pure.elsevier.com/en/persons/orfeu-m-buxton