Orianna DeMasi

Graduate Student of Computer Science at the University of California, Berkeley
Data Science Fellow at the Berkeley Institute of Data Science

I am currently a PhD student in the Computer Science Division at UC Berkeley and a Data Science Fellow at the Berkeley Institute of Data Science. I began my studies at Berkeley in 2012 and work with Benjamin Recht and James Demmel on applications of machine learning for mental health.

I am excited about the development of quantitative methods for mental health. There has been a spectacular rise in the sophistication and ubiquity of computing. This development has lead to rapid changes in other areas of healthcare, such as for cancer. I believe that now there is a similarly unprecedented opportunity for mental health to benefit from the development of computing.

Currently my main research focuses on the development of quantitative monitoring tools, as these are a necessary preliminary step in understanding disorders and evaluating treatments. Additionally, I am also working on two projects that look at mental health on a population level.

In addition to my research, I have been involved with the organization of Women in Computer Science and Electrical Engineering (WICSE) in a variety of roles. I am serving as the co-president for the 2016-2017 year. I am also a memeber of the BIDS Education and Training Working Group, which looks at improving data science education.

Good ways to start conversations with me include asking about my cats or my garden.