Michelle Nuno

Michelle Nuno is a Clinical Assistant Professor of Population and Public Health Sciences at the University of Southern California, specializing in biostatistical methodologies for clinical trials and biomedical applications. She holds a Ph.D. in Statistics from the University of California, Irvine (2020) and an M.S. in Statistics from the same institution (2017), with a B.S. in Applied Mathematics from the University of California, Riverside (2015).

• B.S. in Applied Mathematics, University of California, Riverside (2015)
• M.S. in Statistics, University of California, Irvine (2017)
• Ph.D. in Statistics, University of California, Irvine (2020)

Her research focuses on statistical methodology for clinical trials, particularly in Alzheimer's disease and pediatric oncology. She develops robust sampling designs and analytical tools for time-to-event data, with applications in biomarker discovery and disease progression modeling.

Dr. Nuno's recent publications span pediatric oncology, Alzheimer's disease, and biostatistical methods, including work on miR-371a-3p biomarker validation, lymphovascular invasion in ovarian tumors, and innovative trial designs for tau protein outcomes in Alzheimer's. Her methodological contributions address challenges in nested case-control studies and censoring-robust estimation.

• Carl Cotman Young Investigator Award (UCI MIND), 2020
• Information and Computer Science Latino Excellence Award, 2019
• National Science Foundation Graduate Research Fellowship Program, 2017-2020
• Achievement Rewards for College Scientists Scholar, 2017-2019
• Robert L. Newcomb Memorial Graduate Student Award, 2016
• Eugene Cota Robles Fellowship, 2015-2020
• Provost Ph.D. Fellow, 2015

Her work bridges biostatistical innovation and clinical applications, with a focus on improving diagnostic accuracy and trial efficiency in Alzheimer's and cancer research. Contact: mnuno@usc.edu