After spending a few amazing months as a 'Fellow', I'm now full-time with the team at B12, envisioning a future where creative, talented experts can focus on the interesting parts of their work, letting technology like Orchestra take care of the rest.
I recently completed my dissertation on the design of computer systems that coordinate crowdsourced human workers to analyze large datasets quickly enough to fit into automated data analysis workflows. I was advised by Prof. Michael Franklin in the AMPLab at UC Berkeley. Before that, I worked in the Children's Hospital Informatics Program at Boston Children's Hospital designing storage systems, dataflows, and applications for managing patient information. I completed my undergraduate education in the School of Engineering and Applied Sciences at Harvard University in 2010.
A RESTful web service that runs microtasks across multiple crowds, provides quality control techniques, and is easily extensible.
A system for scalable data cleaning workflows that uses people and algorithms to extract, format, deduplicate, and correct data values.
A tool that allows researchers to use the crowd for text classification tasks so that almost anyone can generate great data.
Writing proofs in LaTeX and keep moving your math between the main document and the appendix? This package is for you—choose where proofs appear with a single package include option.
Outside of the knowledge playground, I've been lucky enough to find Aleksandra Kuczmarska-Haas, an amazing wife and a resident in radiation oncology at the University of Wisconsin-Madison. We own a little blue home in Middleton, WI, and in my spare time I play frisbee, soccer, and mediocre online chess, and enjoy cooking the odd risotto or traveling the world (recent trips include Poland/Budapest, the Galapagos, and Indonesia/Singapore/Malaysia).