Statistics in the early Universe
#statistical-learningDetermined the true extent of our bias in identifying rare galaxies by running bespoke computer models of the evolution of the entire Universe.
I develop software,
publish research in world class journals,
and create massively-parallel simulations
of the Universe.
An expert in modelling, manipulating, and understanding data.
I develop efficient, parallel software in C/C++, Python, and Julia combining MPI and threading.
Digging deep into the "why" of the data in order to explain trends and maximize understanding.
I craft clear, engaging, and impactful reports and papers that open new avenues of exploration.
With a PhD in physics and a deep passion for solving problems, I specialize in tackling complex problems with analytical precision and innovative solutions.
My strong foundation in statistical inference and machine learning has enabled me to develop data-driven models to uncover patterns, make predictions, and navigate uncertainty in complex systems.
Determined the true extent of our bias in identifying rare galaxies by running bespoke computer models of the evolution of the entire Universe.
Novel methods to predict local energy transfer rates in statistical ensembles of hydrodynamic turbulence using machine learning methods.
New York, NY