Mr Gregory Serapio-García (2019)
A San Francisco Bay Area native, I grew up immersed in and fascinated by technology. Carrying this fascination with me to study Psychology and Computing and Digital Technologies at the University of Notre Dame, I won my first research grants to conduct a crowdsourced Internet study of personality and subjective well-being in 105 nations and nine languages. At Notre Dame’s Center for Advanced Measurement of Personality and Psychopathology, I developed an interest in the overlap of clinical disorders with everyday personality traits. I was selected for a National Science Foundation (NSF) Computational Social Science REU at Notre Dame’s Center for Research Computing in 2017, where I used machine learning to predict mental illness traits from social media big data. By pursuing a PhD in Psychology at Cambridge under the mentorship of Dr Jason Rentfrow, I will synthesize mobile-sensing and personality data to predict mental illness outcomes and subjective well-being. I hope to help automate lengthy mental health assessments through computational analyses of social media big data with Dr David Stillwell and colleagues at The Psychometrics Centre. As a Gates Cambridge Scholar and social data scientist, I hope to inform the next generation of the world’s best physicians, lawyers, philosophers, and educators of both the promise of online social data in transforming mental healthcare and the moral imperative to combat the exploitative use of big data in this proliferating field.