Personal Information
Organización/Lugar de trabajo
Greater Chicago Area, IL United States
Ocupación
Professor and entrepreneur
Sector
Technology / Software / Internet
Sitio web
rgrossman.com
Acerca de
I am a faculty member at the University of Chicago and the Founder and a Partner at Analytic Strategy Partners.
At the University of Chicago, I am the Frederick H. Rawson Professor in Medicine and Computer Science and the Director of the Center for Translational Data Science.
At Analytic Strategy Partners, I help companies improve their analytics, machine learning and AI. I am also the Chair of the Open Cloud Consortium, which is a not-for-profit that manages and operates data commons to support scientific, medical, health care and environmental research.
Etiquetas
big data
cloud computing
data science
hadoop
data commons
science clouds
open science data cloud
sector
open cloud consortium
data intensive computing
open data
large data clouds
sectorsphere
genomics
malstone
analytic operations
analyticops
biomedical data commons
cloud computing standards
clouds
open commons consortium
data sharing
deploying analytics
open science
aws
nosql
bionimbus
disaster relief
next generation sequencing
mapreduce
scoring engines
biomedical research
gen3
open research
reproducible research
data ecosystems
deploying analytic models
pfa
portable format for analytics
genomic clouds
big data in biology
open cloud testbed
predictive modeling
anomalies
change detection
data quality
cistrack
elastic computing
sphere
cloud benchmarks
cloud interoperability
bioclouds
analytics
pmml
predictive analytics
data centers
frameworks for creating value from analytics
creating value from ai
ai systems
creating value from analytics
interoperating
principles
data platforms
data commons framework services
data eocsystems
pfb
analytic workflows
open api
data biosphere
cdis
center for data intensive science
occ
commons alliance
data clouds
data commons standards
amia
best practices
trends
challenges
machine learning
data intensive science
cyberpods
datapods
xldb
architectures
large scale segmented models
hyperspectal anomalies
disease clusters
multiple tests
scanning queries
eo-1
project matsu
biomedical clouds
bionimbus protected data cloud
genomic data commons
cancer clouds
osdc
adversarial analytics
strata conference
web map tile service
wmts
ogc
satellite imagery
long tail of science
precision medicine
one million genomes
precision diagnosis
science cloud
complete genomics
community cloud
ngs
nextgen
cloud computing benchmarks
terasort
benchmarks
malgen
digital libraries
scientific data
r
hadoop streams
sector streams
sphere streams
elastic clouds
intercloud testbed
cloud testbeds
cloud standards
migrating virtual networks
virtual networks
eucalyptus
next gen sequencing
image processing
realiability models
health and status monitoring
cube of models
data center
sequence data
large data science
systems biology
sc 09
mtags 09
cloud computing udfs
intercloud
cloud computing use cases
re-analysis
large scale data analysis
udf over data centers
data preprocessing
ec2
paas
iaas
saas
cloud
use
cases
consortium
data
open
large
computing
cloudslam09
Ver más
Presentaciones
(55)Personal Information
Organización/Lugar de trabajo
Greater Chicago Area, IL United States
Ocupación
Professor and entrepreneur
Sector
Technology / Software / Internet
Sitio web
rgrossman.com
Acerca de
I am a faculty member at the University of Chicago and the Founder and a Partner at Analytic Strategy Partners.
At the University of Chicago, I am the Frederick H. Rawson Professor in Medicine and Computer Science and the Director of the Center for Translational Data Science.
At Analytic Strategy Partners, I help companies improve their analytics, machine learning and AI. I am also the Chair of the Open Cloud Consortium, which is a not-for-profit that manages and operates data commons to support scientific, medical, health care and environmental research.
Etiquetas
big data
cloud computing
data science
hadoop
data commons
science clouds
open science data cloud
sector
open cloud consortium
data intensive computing
open data
large data clouds
sectorsphere
genomics
malstone
analytic operations
analyticops
biomedical data commons
cloud computing standards
clouds
open commons consortium
data sharing
deploying analytics
open science
aws
nosql
bionimbus
disaster relief
next generation sequencing
mapreduce
scoring engines
biomedical research
gen3
open research
reproducible research
data ecosystems
deploying analytic models
pfa
portable format for analytics
genomic clouds
big data in biology
open cloud testbed
predictive modeling
anomalies
change detection
data quality
cistrack
elastic computing
sphere
cloud benchmarks
cloud interoperability
bioclouds
analytics
pmml
predictive analytics
data centers
frameworks for creating value from analytics
creating value from ai
ai systems
creating value from analytics
interoperating
principles
data platforms
data commons framework services
data eocsystems
pfb
analytic workflows
open api
data biosphere
cdis
center for data intensive science
occ
commons alliance
data clouds
data commons standards
amia
best practices
trends
challenges
machine learning
data intensive science
cyberpods
datapods
xldb
architectures
large scale segmented models
hyperspectal anomalies
disease clusters
multiple tests
scanning queries
eo-1
project matsu
biomedical clouds
bionimbus protected data cloud
genomic data commons
cancer clouds
osdc
adversarial analytics
strata conference
web map tile service
wmts
ogc
satellite imagery
long tail of science
precision medicine
one million genomes
precision diagnosis
science cloud
complete genomics
community cloud
ngs
nextgen
cloud computing benchmarks
terasort
benchmarks
malgen
digital libraries
scientific data
r
hadoop streams
sector streams
sphere streams
elastic clouds
intercloud testbed
cloud testbeds
cloud standards
migrating virtual networks
virtual networks
eucalyptus
next gen sequencing
image processing
realiability models
health and status monitoring
cube of models
data center
sequence data
large data science
systems biology
sc 09
mtags 09
cloud computing udfs
intercloud
cloud computing use cases
re-analysis
large scale data analysis
udf over data centers
data preprocessing
ec2
paas
iaas
saas
cloud
use
cases
consortium
data
open
large
computing
cloudslam09
Ver más