I am working at the interface of Machine Learning and biological data from images, to omics to the tiniest Molecular Biology. Reach out, if you want to!
Open source highlights
Dalted—Image-processing webapp in Rust.§ Geckopy—Python package for constraint-based metabolic modeling.¶ Rust SBML—Blazingly fast parser for SBML. Shu—Multi-dimensional, trans-omics metabolic maps, in Rust (native and WASM).†Lately working on
Kinetic model—Neural-embedded Bayesian kinetic description of C. autoethanogenum. Bayesian RNA ICA♠—Bayesian generative model of RNAseq, multi-omics and multi-strain. SSL—Self-Supervised Learning of biological sequences with vision transformers.About me
During my PhD, I worked in bacterial carbon capture with Bayesian Models, ML and SSL..
I am based in Germany, open to work anywhere in the world, with preference in Europe. I like oyakodon and Romanian contemporary poetry.
*
Here is my resume and my Linkedin.
¶Publication: Carrasco et al., 2023.
§Check the WASM counterpart.
†Publication: Carrasco et al., 2024.
♠Preprint: Carrasco et al., 2025.