Hey there and welcome to my site!
My name is Raphael Sonabend (PhD, GradStat) [They/Them or He/Him].
I am a Technology Manager in the Data for Science and Health team at the
Wellcome Trust where I
manage projects related to foundational technology
and infectious diseases.
I'm also a Research Assistant in the
Imperial College London COVID-19 Response Team in the Department of
Infectious Disease Epidemiology. I am part of
Professor Neil Ferguson's COVID-19 real-time modelling where we helped forecast
the trajectory of COVID-19 throughout the pandemic and reported to SPI-M-O
to help inform decisions around lockdowns and other non-pharmaceutical interventions.
I'm also a Postdoctoral Fellow in the
Vollmer Research Group in the
Department of Computer Science in the University of Kaiserslautern, where
I primarily research machine learning applications to survival analysis
including fairness in survival and incorporation of Julia in
R
to optimise speed and accuracy performance for survival models.
As well as theoretical research, I have published several
R packages to help make
machine learning more accessible, including a
universe of packages to
expand
R's object-oriented capabilities.
Outside of work you may find me walking my dog, reading, or learning BSL.
Explore my website to find out more.