Personal Information

Organization / Workplace

Florida United States

Occupation

Senior Data Scientist/Author

Industry

Technology / Software / Internet

Website

nostarch.com/shapeofdata
About

I am a computational topologist/geometer interested in the use of theoretical topology and geometry to extend existing statistical frameworks (GLMs, survival analysis, factor analysis/structural equation models, hypothesis tests, Bayesian adaptive trial designs), machine learning methods, graph/network analytics, and partial differential equation models of biological/industrial systems. These more general models allow for more flexible modeling and can accommodate diverse data structures. If there's an obscure mathematical theory that can solve a pressing problem, I'll find it and figure out how to leverage it in an analytics problem.

Tags

machine learning
analytics
data science
topological data analysis
big data
topology
time series
statistics
natural language processing
quantum computing
data analysis
social network
writing
generalized linear regression
network analysis
supervised learning
geometry
python
differential geometry
cluster analysis
substance abuse
psychometrics
clustering
generative ai
poetry
ebola
psychology
alcoholism
graph theory
higher education
persistent homology
deep learning
factor analysis
addiction
genomics
unsupervised learning
agriculture
ethics
text data
publishing
diversity
sociology
neuroscience
business intelligence
healthcare
profound giftedness
profoundly gifted
giftedness
marketing
business
data mining
data visualization
manifold learning
neural networks
medicine
superlearning
tda
reeb graph
morse functions
morse-smale complex
hierarchical clustering
homotopy
principle component analysis
mental health
random forest
tree methods
spatial data
network science
climate change
image analytics
epidemics
hiv
covid
pydata
finance
development
conference
malawi
apps
linguistics
africa
translation
nlp
career
literature
literary devices
prosody
lay audiences
scientific writing
science journalism
academic writing
politics
stock market
community detection
stem education
technology
university of chicago
women in data science conference 2018
wids
intelligence
gifted education
insurance
actuarial science
theology
einstein
quantum theory
physics
brain
biology
pharmaceutical
neurobiology
gender
graduate school
medical research
medical school
medical scientist training program
mstp
md/phd
alcohol abuse
ptsd
trauma
education
talent
gifted
acceleration
eminence
genius
k-nearest neighbor regression
subpopulation
rare disease
clinical trial
robust analysis
small sample
multidimensional scaling
laplacian eigenmaps
isomap
dimensionality reduction
signal processing
latent factors
singular value decomposition
multilinear algebra
medical
tensor decompositions
fourier analysis
spectral methods
markov chains
operations
forecast
mapper algorithm
multiscale methods
cox regression
ensemble learning
model averaging
boosted regression
bayesian statistics
survival analysis
survey design
identity
predictie analytics
logistic regression
genetic algorithm
evolutionary algorithms
hausdorff

See more
## Presentations

(57)## Documents

(4)Personal Information

Organization / Workplace

Florida United States

Occupation

Senior Data Scientist/Author

Industry

Technology / Software / Internet

Website

nostarch.com/shapeofdata
About

I am a computational topologist/geometer interested in the use of theoretical topology and geometry to extend existing statistical frameworks (GLMs, survival analysis, factor analysis/structural equation models, hypothesis tests, Bayesian adaptive trial designs), machine learning methods, graph/network analytics, and partial differential equation models of biological/industrial systems. These more general models allow for more flexible modeling and can accommodate diverse data structures. If there's an obscure mathematical theory that can solve a pressing problem, I'll find it and figure out how to leverage it in an analytics problem.

Tags

machine learning
analytics
data science
topological data analysis
big data
topology
time series
statistics
natural language processing
quantum computing
data analysis
social network
writing
generalized linear regression
network analysis
supervised learning
geometry
python
differential geometry
cluster analysis
substance abuse
psychometrics
clustering
generative ai
poetry
ebola
psychology
alcoholism
graph theory
higher education
persistent homology
deep learning
factor analysis
addiction
genomics
unsupervised learning
agriculture
ethics
text data
publishing
diversity
sociology
neuroscience
business intelligence
healthcare
profound giftedness
profoundly gifted
giftedness
marketing
business
data mining
data visualization
manifold learning
neural networks
medicine
superlearning
tda
reeb graph
morse functions
morse-smale complex
hierarchical clustering
homotopy
principle component analysis
mental health
random forest
tree methods
spatial data
network science
climate change
image analytics
epidemics
hiv
covid
pydata
finance
development
conference
malawi
apps
linguistics
africa
translation
nlp
career
literature
literary devices
prosody
lay audiences
scientific writing
science journalism
academic writing
politics
stock market
community detection
stem education
technology
university of chicago
women in data science conference 2018
wids
intelligence
gifted education
insurance
actuarial science
theology
einstein
quantum theory
physics
brain
biology
pharmaceutical
neurobiology
gender
graduate school
medical research
medical school
medical scientist training program
mstp
md/phd
alcohol abuse
ptsd
trauma
education
talent
gifted
acceleration
eminence
genius
k-nearest neighbor regression
subpopulation
rare disease
clinical trial
robust analysis
small sample
multidimensional scaling
laplacian eigenmaps
isomap
dimensionality reduction
signal processing
latent factors
singular value decomposition
multilinear algebra
medical
tensor decompositions
fourier analysis
spectral methods
markov chains
operations
forecast
mapper algorithm
multiscale methods
cox regression
ensemble learning
model averaging
boosted regression
bayesian statistics
survival analysis
survey design
identity
predictie analytics
logistic regression
genetic algorithm
evolutionary algorithms
hausdorff

See more