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
topology
big data
statistics
data analysis
time series
quantum computing
natural language processing
social network
differential geometry
generalized linear regression
writing
network analysis
supervised learning
geometry
cluster analysis
python
substance abuse
clustering
psychometrics
generative ai
deep learning
persistent homology
psychology
higher education
unsupervised learning
ebola
genomics
addiction
alcoholism
factor analysis
graph theory
poetry
data mining
healthcare
manifold learning
data visualization
business
giftedness
marketing
neural networks
neuroscience
profoundly gifted
medicine
business intelligence
superlearning
profound giftedness
mental health
principle component analysis
text data
nlp
publishing
homotopy
ethics
agriculture
hierarchical clustering
stock market
morse-smale complex
morse functions
tda
tree methods
sociology
random forest
reeb graph
diversity
isomap
signal processing
laplacian eigenmaps
latent factors
genetic algorithm
dimensionality reduction
singular value decomposition
evolutionary algorithms
multilinear algebra
hausdorff
medical
tensor decompositions
multidimensional scaling
predictie analytics
identity
survey design
survival analysis
bayesian statistics
boosted regression
model averaging
ensemble learning
cox regression
multiscale methods
mapper algorithm
logistic regression
forecast
operations
markov chains
spectral methods
linguistics
africa
translation
career
literature
literary devices
prosody
lay audiences
scientific writing
science journalism
academic writing
politics
community detection
stem education
technology
university of chicago
women in data science conference 2018
proteomics
llm
social good
supply chain
spatial data
network science
climate change
image analytics
epidemics
hiv
covid
pydata
finance
development
conference
malawi
apps
wids
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
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
fourier analysis
See more
Presentations
(61)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
topology
big data
statistics
data analysis
time series
quantum computing
natural language processing
social network
differential geometry
generalized linear regression
writing
network analysis
supervised learning
geometry
cluster analysis
python
substance abuse
clustering
psychometrics
generative ai
deep learning
persistent homology
psychology
higher education
unsupervised learning
ebola
genomics
addiction
alcoholism
factor analysis
graph theory
poetry
data mining
healthcare
manifold learning
data visualization
business
giftedness
marketing
neural networks
neuroscience
profoundly gifted
medicine
business intelligence
superlearning
profound giftedness
mental health
principle component analysis
text data
nlp
publishing
homotopy
ethics
agriculture
hierarchical clustering
stock market
morse-smale complex
morse functions
tda
tree methods
sociology
random forest
reeb graph
diversity
isomap
signal processing
laplacian eigenmaps
latent factors
genetic algorithm
dimensionality reduction
singular value decomposition
evolutionary algorithms
multilinear algebra
hausdorff
medical
tensor decompositions
multidimensional scaling
predictie analytics
identity
survey design
survival analysis
bayesian statistics
boosted regression
model averaging
ensemble learning
cox regression
multiscale methods
mapper algorithm
logistic regression
forecast
operations
markov chains
spectral methods
linguistics
africa
translation
career
literature
literary devices
prosody
lay audiences
scientific writing
science journalism
academic writing
politics
community detection
stem education
technology
university of chicago
women in data science conference 2018
proteomics
llm
social good
supply chain
spatial data
network science
climate change
image analytics
epidemics
hiv
covid
pydata
finance
development
conference
malawi
apps
wids
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
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
fourier analysis
See more