Daniel Haas

Daniel Haas 

Daniel Haas, Graduate Student
Algorithms, Machines, and People Lab
University of California, Berkeley
Advisor: Michael Franklin

Email: dhaas@cs.berkeley.edu

About Me

I am a fourth year Ph.D. student working with Prof. Michael Franklin on putting the 'P’ in AMP: that is, taking a systems-oriented approach to using human computation to solve problems in big data. Previously, I worked at the Intelligent Health Laboratory in the Children's Hospital Informatics Program at Boston Children's Hospital designing storage systems, dataflows, and applications for managing patient information, particularly Indivo, an open-source personally controlled health record system. I completed my undergraduate education in the School of Engineering and Applied Sciences at Harvard University in 2010.

I am supported by the National Science Foundation Graduate Research Fellowship Program from 2012–2015.

Education

Recent Publications

Selected Talks

Teaching