What
CodeNeuro is about understanding the brain, and the computing technology we need to get there. We're bringing together neuroscientists, data scientists, hackers, and visualizers to help tackle one of the most fascinating problems in biology — and hopefully change the way we think about data in the process.
Our first event delved into large-scale mapping of neural activity, distributed machine learning techniques for wrangling terabytes of data, web interfaces for interactive visualization, and everything in between.
When
THURSDAY NIGHT, OCTOBER 30
5.00 Arrival + pizza
6.00 Jeremy Freeman, welcome
6.15 Nick Sofroniew (Janelia)
6.30 Michael Broxton (Stanford)
6.45 Misha Ahrens (Janelia)
7.00 Tim Blanche (Allen Institute)
7.15 Break + drinks
7.30 Josh Rosen (Databricks)
7.45 Xiangrui Meng (Databricks)
8.00 Sandy Ryza (Cloudera)
8.15 Fernando Perez (Berkeley)
8.30 Break + drinks
8.45 Lydia Ng (Allen Institute)
9.00 Viren Jain (Google)
9.15 Deep Ganguli (StichFix)
Closing remarks from Bill Newsome
FRIDAY MORNING, OCTOBER 31
10.00 Arrival + coffee + toast / donuts
10.30 Jeff Seeley (Columbia)
10.45 Reza Zadeh (Stanford / Databricks)
11.00 Michael Waskom (Stanford)
11.15 Matthew Conlen (NYDC)
11.30 Varun Ganapathi (Terminal.com)
12.00 Pizza + hacking
- 5.00 + breakout sessions
Topics include:
- Interactive visualization
- Standardized machine learning APIs
- Making Spark work for science
- Sharing and standardizing data
- Dimensionality reduction
- Analysis tutorials + more!
Where
We gathered at 111 Minna, an open gallery space perfect for presenting, coding, and meeting new collaborators.