About Me

I study how dark matter shapes the universe. My work sits at the meeting point of theory, large scale simulations, and weak lensing. I build simple and reliable tools that learn as much as possible from the data before asking for heavy computation.

I focus on higher order statistics and wavelet methods. These ideas let me do parameter inference in a way that is light on simulations and heavy on understanding. Lately I have been developing a theory driven path for likelihood free inference so that results stay transparent and robust while storage and compute stay reasonable.

I am part of the Euclid collaboration, where I care about turning careful theory into useful practice. At CosmoStat I co organize the Journal Club and enjoy meeting people who bring new ideas and even better questions.

When I am not thinking about statistics and lensing, I am usually out with my camera, reading, or planning the next trip. I love to travel, learn from new cultures, and when I can, wander through old ruins and museums. If you are curious, head to my blog to read a few of these experiences I have penned down.

I enjoy learning by doing. I pick up new tools, run small experiments with real data, and build little projects for everyday use. It keeps me curious and close to what works.