Stanford University
Showing 21,481-21,500 of 36,182 Results
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Mercedes Montemayor Elosua
Doctor of Musical Arts Student, Musical Arts
BioMercedes Montemayor is a Mexican composer, multidisciplinary artist, and doctor of musical arts candidate at Stanford University. Her works manifest as electronic and electroacoustic music, sound Art, sound installation, and performance Art. She composes multichannel pieces for the stage and the listening room at the Center for Computer Research in Music and Acoustics (CCRMA), from 3-7th order ambisonics. Also a film lover, she actively participates in the sound design and compositions of short films— and is now entering the world of scoring the feature film with LOUWRIEN WIJERS: from Competition to Compassion (2025). Her career launched with her collaboration with Mexican textile artist Miriam Medrez, in her intermedia installation Jardín Onírico (2022), followed by an internship at an Architectural Acoustics firm, and a performance in Mutek (2023) in Museo Anahuacall, in Mexico City with her debut album Volumina (2023).She studied Audio Engineering at Tecnológico De Monterrey and is in love with the process of mixing and mastering her work. Recently she's been reading Kierkegaard which is a considerable influence in her upcoming works, and continues to experiment with space to voice her experience as an experiencer.
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Maria Emilia Montez Rath
Assistant Professor (Research) of Medicine (Nephrology)
BioDr. Montez-Rath completed her PhD in Biostatistics from Boston University in 2008 focusing on methods for modeling interaction effects in studies involving populations with high levels of comorbidity, such as persons on dialysis. She is a senior biostatistician and director of the Biostatistics Core of the Division of Nephrology at Stanford University where she has been collaborating with faculty and fellows since 2010 to study a variety of research questions relevant to kidney disease. Her methodological interests are mainly data-driven and include the handling of missing data, survival analysis with an emphasis on models for time-varying covariates and competing risks, methods for analyzing epidemiologic studies, analysis of correlated data and comparative effectiveness studies, as well as data visualization.
