About Me

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

Within the SciML organisation, I serve 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. My passion for scientific machine learning and optimization continues to drive my research and development efforts.

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.