About Me

I was a graduate student in Computational Science and Engineering at MIT and worked at the Julia Lab within MIT’s CSAIL, focusing on scientific machine learning and non-linear optimization.

Within the SciML organisation, I served as member of the steering council and a maintainer for various packages, such as Optimization.jl and GlobalSensitivity.jl among others, focused on non-linear optimization, inverse problems and sensitivity analysis in the context of scientific machine learning.

Before this I was a Software Engineer at JuliaHub, where I contributed significantly to the pharmaceutical modeling and simulation software Pumas and the Lyv clinical decision support system.