My research focuses on explainable machine learning for medical image analysis. I am a dual degree PhD candidate at Carnegie Mellon University and at the University of Porto. I also co-founded a non-profit, NYC Makerspace, to bring together diverse communities of people, give them advanced tools and education, and ignite individuals with the life-long passions to innovate, teach as a means of learning, and have fun by helping their friends grow. Previously, I worked as a data scientist and engineer in New York City for 7 years. I studied in jazz performance and composition at Bard College. I am fascinated by the ways people create and interpret their life paths.
Visionary people embrace challenge by inventing opportunities and pursuing ideas. Their success is achieved not by meeting requirements or emphasizing credentials, but by giving others the ability to appreciate, use and adapt the things they love most.
Ph.D. Candidate in Electrical Computer Engineering (expected 2023)
Advisors: Prof. Asim Smailagic, Prof. Aurelio Campilho
Ph.D. Candidate in Electrical Computer Engineering (expected 2023)
(via CMU Portugal dual degree program)
M.S. in Electrical Computer Engineering (expected 2021)
Bachelor of Arts in Music, 2010
I am interested in collaborations of many kinds and with people of a wide variety of different experiences and skill-sets. While I complete my Ph.D. I'm especially focused on academic collaboration. I am also usually looking for students to help with research projects.
Email: click@to.reveal.com