Freelance data science work
Review of study design, suggested analysis approach, exploratory data analysis requirements.
Proficient in Frequentist Statistics, Machine Learning, and Nonlinear Time-Series Analysis.
Available to present on various topics in data science (topics available upon request).
Tasked with researching and creating
bespoke analysis methods to monitor,
predict
and forecast changes in Multiple
Sclerosis (MS) based on data derived
from smartphones. Inspiration for these
approaches has come from complex systems
science (e.g.
Recurrence
Quantification Analysis),
optimal control theory (e.g.
Licitra et al.,
2018),
electrical engineering (e.g.
Single Input Single
Output systems),
and neuroscience (e.g.
Subtype and Stage
Inference).
Company -
Neurocast
Duration - 1yr [2021 to present]
Location - Amsterdam, Netherlands
The main data scientist assigned to
conduct analyses in collaboration with
the Amsterdam University
medical center. This collaboration,
intended to validate the use of
smartphone interactions as a means to
monitor and predict Multiple Sclerosis
(MS) outcomes, led to
a cross sectional
journal article,
a responsiveness
journal article, and
a longitudinal
journal article.
Company -
Neurocast
Duration - 1yr [2020 to 2021]
Location - Amsterdam, Netherlands
Created a
machine learning
workflow
and conducted an assortment of machine
learning
analyses (SVM, Random Forests,
Multilayer Perceptron etc.) to predict
MS outcome
measures using keystroke data.
These analyses were all internal but an
example of an approach similar to what
was
done may be found here.
Company -
Neurocast
Duration - 1yr [2019 to 2020]
Location - Amsterdam, Netherlands
Applied nonlinear time series analyses -
specifically dynamic complexity to
keystroke dynamics
in order to match fluctuations in the
keystroke data with clinically relevant
changes in outcome
measures. This culminated in the
following journal article: Twose
et al, 2020. Also looked into
the use of Mixed Effects Random Forests
to predict
MS outcomes whilst taking into account
the hierarchical nature of clinical data
and still
applying a nonlinear approach (in
contrast to Linear Mixed Models).
Company -
Neurocast
Duration - 1yr [2018 to 2019]
Location - Amsterdam, Netherlands
Created a functioning medicines
relational database;
researched vector autoregressions to
predict adverse events;
researched scientific advices to change
the protocol the CBG
uses to regulate antidepressants.
Company -
CBG-MEB
Duration - 1yr [2015 to 2016]
Location - Utrecht, Netherlands
Measuring perceived stress levels,
coping strategies and
physiological correlates in UCR students
at times of high and
low workload: Selected to undertake this
study for the
management of University College
Roosevelt to influence policy
decisions on the protocol the university
uses to combat stress
in students.
Company -
University College
Roosevelt
Duration - 1yr [2015 to 2016]
Location - Middelburg,
Netherlands
