Personal Information
Organización/Lugar de trabajo
Greater Philadelphia Area United States
Ocupación
Computational Scientist at GlaxoSmithKline
Sector
Medical / Health Care / Pharmaceuticals
Sitio web
www.cs.unc.edu/~debug
Acerca de
As a computational chemist (i.e. a data scientist in the life sciences), I work with scientists from many domains, including chemists, biologists, and other informaticians. I enjoy digging into all the computational aspects of life science research, and solving data challenges by exploiting adjacencies and connections - between diverse fields of knowledge, and the equally diverse scientists trained in them. I have supported multiple drug discovery projects starting from target identification through to candidate selection and clinical development. Deriving insight by custom data integration is what I'm best known for. My doctoral training was Computer Science, w/ postdoc in cheminformatics.
Etiquetas
hts
spotfire
scaffold
protein structure
livedesign
data visualization
molecule visualization
drug discovery
sar
cheminformatics
acs
moe
knime
dna-encoded library
tcams
nih
frameworks
fragment-based drug design
elt
data-driven clustering
automated
exhaustive
ncats
r-group
screening
scaffold network
sng
data integration
gsk
sar analysis
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Presentaciones
(3)Personal Information
Organización/Lugar de trabajo
Greater Philadelphia Area United States
Ocupación
Computational Scientist at GlaxoSmithKline
Sector
Medical / Health Care / Pharmaceuticals
Sitio web
www.cs.unc.edu/~debug
Acerca de
As a computational chemist (i.e. a data scientist in the life sciences), I work with scientists from many domains, including chemists, biologists, and other informaticians. I enjoy digging into all the computational aspects of life science research, and solving data challenges by exploiting adjacencies and connections - between diverse fields of knowledge, and the equally diverse scientists trained in them. I have supported multiple drug discovery projects starting from target identification through to candidate selection and clinical development. Deriving insight by custom data integration is what I'm best known for. My doctoral training was Computer Science, w/ postdoc in cheminformatics.
Etiquetas
hts
spotfire
scaffold
protein structure
livedesign
data visualization
molecule visualization
drug discovery
sar
cheminformatics
acs
moe
knime
dna-encoded library
tcams
nih
frameworks
fragment-based drug design
elt
data-driven clustering
automated
exhaustive
ncats
r-group
screening
scaffold network
sng
data integration
gsk
sar analysis
Ver más