Emma Diaz

Lead Research Coordinator @UCLA Health

Los Angeles, CA, US
MOBILE NUMBERS
+19•••••••74

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WORK HISTORY

Jul 2020 — Present

Lead Research Coordinator @UCLA Health

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Los Angeles, CA, US

Lead coordinator of Apple-sponsored UCLA study aimed to better understand how factors such as sleep, physical activity, heart activity and daily routines impact symptoms of depression and anxiety. Responsible for managing daily operations of more than 25 study assessors for a study of 4,200+ active participants. Works in close collaboration with a multidisciplinary team to ensure research study enrollment targets are met and protocols are successfully executed. More specific duties include-Participating in progress report meetings with leadership-Ensuring efficient operations of study protocol to ensure target sample is acquired- Communicating and coordinating with all team Assessors, Project Director, and Principle Investigator to ensure comprehensive data collection-Supporting onboarding and training of new coordinators and additional team members-Implementing and managing scheduling protocols for high volume of assessment sessions

EDUCATION

2012 — 2016

New York University

Bachelor's Degree, Psychology, Neuroscience, Child and Adolescent Mental Health

2016 — 2017

King's College London

Master’s Degree, Clinical Neurodevelopmental Science, MSc

ABOUT EMMA DIAZ

Background in neuroscience and clinical neurodevelopmental disorders. Completed dissertation at King\'s College London investigating white matter differences in functional network abnormalities within females with ASD through diffusion tractography technology. Began at UCLA Semel Institute for Neuroscience and Human Behavior as a coordinator within the Depression Grand Challenge\'s Biomarkers program pursuing research investigating neural response to fast-acting antidepressant treatment interventions. Current lead coordinator of UCLA\'s Digital Mental Health Study, in collaboration with Apple, which aims to advance the understanding of causes and trajectories of depression, as well as their potential relationship to conditions such as cardiovascular disease, diabetes, neurological disorders and cancer.

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