Diego Robles Mazzotti, Ph.D.

Professional Background

Dr. Diego Mazzotti is an Associate Professor in the Division of Medical Informatics, Department of Internal Medicine at the University of Kansas Medical Center. He is also the Director of the Division of Medical Informatics. Dr. Mazzotti received his Ph.D. in Psychobiology at the Federal University of São Paulo, Brazil and a Certificate in Biomedical Informatics from the University of Pennsylvania Perelman School of Medicine. Dr. Mazzotti also served as a Research Scientist at the Center for Applied Genomics, Children’s Hospital of Philadelphia and took a faculty position as a Research Associate in Sleep Medicine at the University of Pennsylvania Perelman School of Medicine. He also worked as a Bioinformatics Consultant in several projects spanning many human complex disorders.

• BS, Genetics, Federal University of São Paulo, São Paulo, São Paulo
• PhD, Psychobiology, Federal University of São Paulo, São Paulo, São Paulo
• Other, Biomedical Informatics, University of Pennsylvania, Philadelphia, PA
• Post Doctoral Fellowship, Sleep Medicine, Federal University of São Paulo, São Paulo, São Paulo

• American Thoracic Society, Sleep and Respiratory Neurobiology Program Committee, Member, 2023 - Present
• Sleep Research Society, Sleep Research Network, Chair, 2023 - Present
• American Academy of Sleep Medicine, Member, 2022 - Present
• Sleep Research Society, Sleep Research Network, Vice Chair, 2022 - 2023
• American Medical Informatics Association, Member, 2020 - Present
• Sleep Apnea Global Interdisciplinary Consortium, Big Data Working Group, Chair, 2020 - Present
• Sleep Research Society, Sleep Research Network Task Force, Member, 2020 - 2022

Research

Overview

Dr. Mazzotti current research interests focus on the application of innovative methods to the analysis of high-dimensional physiological, behavioral, genetic and epidemiological data in sleep and sleep disorders, to understand how they can be translated into clinical knowledge and into applications that can advance healthcare. Such methods include supervised and unsupervised machine learning, data integration and harmonization and development of tools that facilitate clinical research with the potential to impact clinical care. To achieve these goals, Dr. Mazzotti aims to establish a solid multidisciplinary research program in the interface between Biomedical Informatics and Sleep Medicine, particularly in the following areas: novel analytical approaches to obstructive sleep apnea phenotyping, predictive modeling and clinical decision support of cardiovascular outcomes using sleep physiological markers, clinical sleep data integration for health outcomes research using electronic health records and elucidating the genetic basis of sleep and sleep disorders in humans.

• Developing a P4 Medicine Approach to Obstructive Sleep Apnea, NHLBI / NIH, Other
• Night-to-Night Variability in Sleep Disordered Breathing: Sex and Gender-Related Predictors and Impact on Obstructive Sleep Apnea Clinical Heterogeneity, NHLBI, Multi-Principal Investigator

• Mazzotti DR, Keenan BT, Lim DC, Gottlieb DJ, Kim J, Pack AI. 2019. Symptom Subtypes of Obstructive Sleep Apnea Predict Incidence of Cardiovascular Outcomes.. American journal of respiratory and critical care medicine, 200 (4), 493-506
• Jones SE, van Hees VT, Mazzotti DR, Marques-Vidal P, Sabia S, van der Spek A, Dashti HS, Engmann J, Kocevska D, Tyrrell J, Beaumont RN, Hillsdon M, Ruth KS, Tuke MA, Yaghootkar H, Sharp SA, Ji Y, Harrison JW, Freathy RM, Murray A, Luik AI, Amin N, Lane JM, Saxena R, Rutter MK, Tiemeier H, Kutalik Z, Kumari M, Frayling TM, Weedon MN, Gehrman PR, Wood AR. 2019. Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour.. Nature communications, 10 (1), 1585
• Jones SE, Lane JM, Wood AR, van Hees VT, Tyrrell J, Beaumont RN, Jeffries AR, Dashti HS, Hillsdon M, Ruth KS, Tuke MA, Yaghootkar H, Sharp SA, Jie Y, Thompson WD, Harrison JW, Dawes A, Byrne EM, Tiemeier H, Allebrandt KV, Bowden J, Ray DW, Freathy RM, Murray A, Mazzotti DR, Gehrman PR, Lawlor DA, Frayling TM, Rutter MK, Hinds DA, Saxena R, Weedon MN. 2019. Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.. Nature communications, 10 (1), 343
• Veatch OJ, Bauer CR, Keenan BT, Josyula NS, Mazzotti DR, Bagai K, Malow BA, Robishaw JD, Pack AI, Pendergrass SA. 2020. Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records.. BMC medical genomics, 13 (1), 105
• Rizzatti FG, Mazzotti DR, Mindel J, Maislin G, Keenan BT, Bittencourt L, Chen NH, Cistulli PA, McArdle N, Pack FM, Singh B, Sutherland K, Benediktsdottir B, Fietze I, Gislason T, Lim DC, Penzel T, Sanner B, Han F, Li QY, Schwab R, Tufik S, Pack AI, Magalang UJ. 2020. Defining Extreme Phenotypes of OSA Across International Sleep Centers.. Chest
• Lim DC, Mazzotti DR, Sutherland K, Mindel JW, Kim J, Cistulli PA, Magalang UJ, Pack AI, de Chazal P, Penzel T. 2020. Reinventing polysomnography in the age of precision medicine.. Sleep medicine reviews, 52, 101313
• Mazzotti DR, Lim DC, Sutherland K, Bittencourt L, Mindel JW, Magalang U, Pack AI, de Chazal P, Penzel T. 2018. Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.. Physiological measurement, 39 (9), 09TR01
• Sutherland K, Keenan BT, Bittencourt L, Chen NH, Gislason T, Leinwand S, Magalang UJ, Maislin G, Mazzotti DR, McArdle N, Mindel J, Pack AI, Penzel T, Singh B, Tufik S, Schwab RJ, Cistulli PA. 2019. A Global Comparison of Anatomic Risk Factors and Their Relationship to Obstructive Sleep Apnea Severity in Clinical Samples.. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 15 (4), 629-639
• Fernando RC, Mazzotti DR, Azevedo H, Sandes AF, Rizzatti EG, de Oliveira MB, Alves VLF, Eugênio AIP, de Carvalho F, Dalboni MA, Martins DC, Colleoni GWB. 2019. Transcriptome Analysis of Mesenchymal Stem Cells from Multiple Myeloma Patients Reveals Downregulation of Genes Involved in Cell Cycle Progression, Immune Response, and Bone Metabolism.. Scientific reports, 9 (1), 1056
• van Hees VT, Sabia S, Jones SE, Wood AR, Anderson KN, Kivimäki M, Frayling TM, Pack AI, Bucan M, Trenell MI, Mazzotti DR, Gehrman PR, Singh-Manoux BA, Weedon MN. 2018. Estimating sleep parameters using an accelerometer without sleep diary.. Scientific reports, 8 (1), 12975