Gui Lopes
Dr. Gui Lopes is a Principal Research Scientist for PINC AI™ Applied Sciences.
Dr. Lopes specializes in applied epidemiologic methods and advanced biostatistics techniques in areas such as pharmacogenomics, cardiovascular disease, cancer, and infectious diseases. He has substantial experience with electronic medical records, chart reviews, laboratory databases, pharmacogenomic databases, prospective data collection, and hospital administrative databases.
Prior to joining Premier, Dr. Lopes worked as a research associate in one of the largest nonprofit academic medical centers in the United States. Over the years, Dr. Lopes was the principal investigator of multiple retrospective research studies, was an invited speaker of international symposiums, and received multiple academic awards, including a NIH T32.
In addition, Dr. Lopes was at the forefront of an international collaboration (15+ countries) that developed a novel statistical method to detect complex patterns of toxicity in cancer clinical trials. During the COVID-19 pandemic, he also collaborated with city, county, and state healthcare officers by overseeing weekly reports of COVID-19 incidence in southwest Minnesota.
Dr. Lopes has published 40+ studies in peer-reviewed journals.
Dr. Lopes earned his B.S. (Psychology and Community Healthcare, 2012) and M.S. (Psychometrics and Correctional Health, 2014) at the Federal University of Ceará (Brazil). He earned his Ph.D. (Psychometrics and Women’s Health, 2018) at Oakland University (United States).
Featured Publications
Lopes G.S., Manemann S.M., Weston S.A. et al. Minnesota COVID-19 Lockdowns: The Effect on Acute Myocardial Infarctions and Revascularizations in the Community. Mayo Clinic Proceedings: Innovations, Quality & Outcomes. (2022). https://doi.org/10.1016/j.mayocpiqo.2021.12.002
Lopes, G.S., Lopes, J.L., Bielinski, S.J. et al. Identification of sex-specific genetic associations in response to opioid analgesics in a White, non-Hispanic cohort from Southeast Minnesota. The Pharmacogenomics Journal. (2022). https://doi.org/10.1038/s41397-022-00265-9
Lopes G.S., Tournigand C., Olswold C.L. et al. Adverse event load, onset, and maximum grade: A novel method of reporting adverse events in cancer clinical trials. Clinical Trials. (2021). https://doi.org/10.1177/1740774520959313
Education
- Ph.D., Psychometrics and Women’s Health, Oakland University
- M.S., Psychometrics and Correctional Health, Federal University of Ceará, Brazil
- B.S., Psychology and Community Healthcare, Federal University of Ceará, Brazil
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