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class: center, middle
name:opening
# NeuroData 2016
<!-- {[bme](http://www.bme.jhu.edu/),[icm](http://icm.jhu.edu/),[cis](http://cis.jhu.edu/),[idies](http://idies.jhu.edu/),kavli,[cs](http://engineering.jhu.edu/computer-science/), [ams](http://engineering.jhu.edu/ams/), [neuro](http://neuroscience.jhu.edu/)} | [jhu](https://www.jhu.edu/) -->
<br>
slides: <http://neurox.io/nd2016>
---
## things to celebrate
- people
- manuscripts
- events
- grants
- tools
- companies
---
class: center, middle
layout:true
---
# new people
---
class: center, middle
##eric
---
##leo
---
##gui
---
class: center, middle
##youjin
---
##jesse
---
##cencheng
---
##heather
---
##james
---
##zeinab
---
##vikram
---
# old people and some manuscripts
---
## cencheng's [manifold matching](https://arxiv.org/abs/1412.4098)
---
## da's [flasheigen](https://arxiv.org/abs/1602.01421), [flashmatrix](https://arxiv.org/abs/1604.06414v1), and [flash matrix multiplication](https://arxiv.org/abs/1602.02864)
---
## tyler's [randomer forests](https://arxiv.org/abs/1506.03410)
---
## greg's [science in the cloud](https://arxiv.org/abs/1610.08484)
---
## runze's [law of large graphs](https://arxiv.org/abs/1609.01672)
---
## disa's [k-means](https://arxiv.org/abs/1606.08905)
---
## shaojie's [kalman filter in high dimensions](https://arxiv.org/abs/1509.03927)
---
## kwame's [LDDMM](https://arxiv.org/abs/1605.02060) on clarity and [MI-LDDMM](https://arxiv.org/abs/1612.00356)
---
### our "[to the cloud!](http://dx.doi.org/10.1016/j.neuron.2016.10.033)" and our workshop report on "[grand challenges for global brain sciences](https://arxiv.org/abs/1608.06548)"
---
# events
---
## SfN
---
## NIPS, Supercomputing, SPIE, Stanford Reproducability, Janelia Hackathons
---
layout: false
# funding
<br><br>
1. "brainlab continuous integration"
1. FlashX
1. NSF BRAIN workshop
1. SIMPLEX Phase II + FunLOL
1. TRA
1. Kavli $100k
1. DARPA D3M
---
class: center, middle
layout:true
---
# tools
---
## ndstore
---
## ndviz
---
## ndreg
---
## ndmg
---
## randomer forest
---
# companies
---
## d8alab
---
## flashx
---
## NuCo
---
# lessons
---
---
---
---
# vision for 2017
---
---
---
---
layout: false
# logistics for 2017
--
1. hire for company
1. quarterly goals
1. grant engagement
1. semi-annual retreats
1. weekly subgroup meetings
1. monthly check-ins*
1. weekly all-hands lunches*
1. weekly hackernoons*
1. daily stand-ups*
---
layout:false
## data science in a slide
<br>
| task | algorithm | implementation | pipeline | science | pro |
| :--- | :--- | :--- | :--- | :--- |:---
| EDA | standards| R --> FlashX | meda | synaptomes | 2017
| hypothesis | MGC | R --> FlashX | ? | mind/brain | 2017
| clustering | 2017 | 2017 | 2017 | synaptomes+ | 2017
| classification | LOL, RerF | FlashX, 2017 | ? | ? | 2017
| regression | 2017 | 2017 | ? | 2017 | ?
| time-series | Mr. Sid | --> FlashX | ? | ? | ?
| registration | SGM,LDM | R,Python+ITK | A1Hr | ? | 2017
| control | discrim. | 2017 | ? | connectomes | ?
---
## reference algorithms
<br>
| task | low-d | high-d | 1-graph | n-graphs | shapes |
| :--- | :--- | :--- | :--- | :--- |:---
| EDA | meda| meda2 | gx | gx 2.0 | ?
| hypothesis | MGC | MGC | 2017 | cep | MGC
| clustering | 2017 | 2017 | ASE_GMM | Semipar | ?
| classification | RerF | LOL,RerF | VN | ss | ?
| regression | 2017 | 2017 | MGC+ | MGC+ | ?
| time-series | KFS | Mr. Sid | ? | ? | ?
| registration | ? | ? | ? | SGM | LDDMM
| control | discrim. | 2017 | ? | connectomes | ?
---
## reference pipelines
<br>
| modality | "align" | viz | ingest | detect | analyze |
| :--- | :--- | :--- | :--- | :--- |:---
| EM | align | viz | ingest | objects | stats
| AT | render | viz | ingest | synapses | meda
| Ophys | align | viz | ingest | soma+spikes | spike code
| MRI | ndmg | viz | ingest | graphs | connectome code
| XRM | align | viz| ingest| soma+process | stats
| CL | ndreg | viz| ingest| soma+process | stats
---
## Acknowledgments
| Role | Person |
| :--- | :--- |
| Data | Bock, Lee, Reid, Kasthuri, Lichtman, Collman, Weiler, Micheva, Smith, Crow, Deisseroth, Bloss, Spruston, Hildebrand, Engert, Harris, Zlatic, Cardona, Wanner |
| Theory | Priebe, Lyzinski, Sussman, Tang, Ketcha, Wang, Fishkind, Durante, Dunson, Chen, Shen, Lindquist, Caffo |
| Computer Vision | Kazhdan, Dyer, Gray Roncal, Kutten, Miller, Hager, Chevillet, Simhal, Patsolic, Saalfeld, Sapiro |
| Computer Science | Zheng, Lillaney, Baden, Manavalan, Mhembere, Perlman, Koutra, Faloutsos, Szalay, Burns |
| Analysis | Kiar, Kleissas, Litt, Wandell, Poldrack, Wiener, Vogelstein |
<img src="images/funding/nsf_fpo.png" STYLE="position:absolute; TOP:550px; LEFT:10px; HEIGHT:100px;"/>
<img src="images/funding/nih_fpo.png" STYLE="position:absolute; TOP:550px; LEFT:120px; HEIGHT:100px;"/>
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---
class: middle, center
# Questions?
<br>
<br>
[[email protected]](mailto:[email protected]) | [neurodata.io](http://neurodata.io)
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