Raphael Sonabend

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.
Round picture of me



Selected Research and Media

See my Google Scholar for a full list of up-to-date publications.

Research Interests

I use Medium to publish short blog posts about statistics, data science, machine learning, and occassionally ethics. Check out my articles at the links below (contact me if you have any trouble accessing these).

If you want to work, research, or collaborate with me, please feel free to reach out via any of the methods below. I'm actively looking for people to join our lab and to help maintain R packages.