myExperiment

myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.

Program Seeks to Nurture 'Data Science Culture' at Universities

In collaboration with the University of Washington (UW) and Berkeley, and under the sponsorship of the Moore and Sloan foundations, NYU is working on a new initiative to 'harness the potential of data scientists and big data'. As part of this initiative, we aim to increase awareness of sharing, preservation, provenance, and reproducibility best practices across UW, NYU, Berkeley campuses and encourage their adoption.

Software Tools to Facilitate Research Programming

Ph.D. dissertation, Department of Computer Science, Stanford University, 2012: "By understanding the unique challenges faced during research programming, it becomes possible to apply techniques from dynamic program analysis, mixed-initiative recommendation systems, and OS-level tracing to make research programmers more productive. This dissertation characterizes the research programming process, describes typical challenges faced by research programmers, and presents five software tools that I have developed to address some key challenges."

Junk science? Most preclinical cancer studies don't replicate

When a cancer study is published in a prestigious peer-reviewed journal, the implication is the findings are robust, replicable, and point the way toward eventual treatments. Consequently, researchers scour their colleagues' work for clues about promising avenues to explore. Doctors pore over the pages, dreaming of new therapies coming down the pike. Which makes a new finding that nine out of 10 preclinical peer-reviewed cancer research studies cannot be replicated all the more shocking and discouraging.