Published: Fri 23 January 2015
By C. Titus Brown
In science .
tags: research moore dddi
Today at 3pm EST, the Moore Data Driven Discovery Investigators
will be answering questions on reddit , in
the science "ask me anything (AMA)" series. This is an opportunity to
ask us anything you want about our research, data-driven discovery more
generally, or ...well, you tell us!
Go here to see the questions and our answers .
A (slightly updated) list of the Investigators and some of their proposals
is below.
Dr. Ethan White, University of Florida
Proposal: Data-intensive forecasting and prediction for ecological systems
Source code repository: https://github.com/weecology
Google Scholar: http://scholar.google.com/citations?user=pHmra8cAAAAJ&hl=en
ImpactStory: https://impactstory.org/EthanWhite
Blog: http://jabberwocky.weecology.org/
Twitter: @ethanwhite
Dr. Laura Waller, UC Berkeley
Source code repository: https://github.com/Waller-Lab/CalOptrics
Dr. Matt Turk, University of Illinois at Urbana-Champaign
Proposal: Changing How We Conduct Inquiry
Source code repository: http://bitbucket.org/MatthewTurk/
Google Scholar: http://scholar.google.com/citations?user=QTmv2p0AAAAJ&hl=en
Blog: https://plus.google.com/+MatthewTurk
Twitter: @powersoffour
Dr. Blair D. Sullivan, North Carolina State University
Proposal title: Enabling Science via Structural Graph Algorithms
Source code repository: https://github.com/bdsullivan/
Google Scholar: http://scholar.google.com/citations?user=oZBtvZMAAAAJ&hl=en&oi=ao
Twitter: @BlairDSullivan
Dr. Matthew Stephens, University of Chicago
Proposal title: Gene Regulation and Dynamic Statistical Comparisons
Source code repository: https://github.com/stephens999
Google Scholar: http://scholar.google.com/citations?user=qOQFhUkAAAAJ&hl=en
Blog: http://randomdeviation.blogspot.com/
Twitter: @mstephens999
Dr. Amit Singer, Princeton University
Proposal title: Maximum Likelihood Estimation by Semidefinite Programming: Application to Cryo-Electron Microscopy
Google Scholar: http://scholar.google.com/citations?user=h67w8QsAAAAJ&hl=en
Dr. Kimberly Reynolds, UT Southwestern
Proposal title: Decoding the Genome: Finding Effective Variables from Evolutionary Ensembles
Google Scholar: http://scholar.google.com/citations?user=6bWFU7MAAAAJ&hl=en&oi=ao
Dr. Chris Re, Stanford
Google Scholar: http://scholar.google.com/citations?user=DnnCWN0AAAAJ&hl=en
Dr. Laurel Larsen, UC Berkeley
Proposal: Developing the informationscape approach to environmental change detection.
Dr. Carl Kingsford, Carnegie Mellon University
Proposal title: Lightweight Algorithms for Petabase-scale Genomics
Google Scholar: http://scholar.google.com/citations?user=V_cvqKcAAAAJ
Twitter: @ckingsford
Dr. Jeffrey Heer, U. Washington Seattle
Proposal: Interactive Data Analysis
Google Scholar: http://scholar.google.com/citations?user=vlgs4G4AAAAJ
Twitter: @jeffrey_heer
Dr. Casey Greene, Dartmouth
Proposal title: Learning the context of publicly available genome-wide data
Google Scholar: http://scholar.google.com/citations?user=ETJoidYAAAAJ&hl=en
Twitter: @GreeneScientist
Dr. C. Titus Brown, UC Davis
Proposal: Infrastructure for Data Intensive Biology
Source code repository: http://github.com/ged-lab/
Google Scholar: http://scholar.google.com/citations?user=O4rYanMAAAAJ
ImpactStory: https://impactstory.org/TitusBrown
Blog: http://ivory.idyll.org/blog/
Twitter: @ctitusbrown
Dr. Joshua Bloom, UC Berkeley
Proposal title: Efficient Data-Driven Astrophysical Inquiry with Machine Learning
Google Scholar: http://scholar.google.com/citations?user=fHkUYk0AAAAJ
Blog: http://5nf5.blogspot.com/
Twitter: @profjsb
--titus
There are comments .