Selected for a Charité X-Student Research Group using machine learning to study individual immune responses across immunological, clinical, and genetic data.
I'm currently an MSc Bioinformatics student at Freie Universität Berlin.
I’m particularly curious about representation learning. Our biological operating system is highly malleable, adaptive, context-dependent, and constantly changing. I’m curious whether models can help us find structure within that flexibility and uncover patterns we would not have known to look for.
At the Max Planck Institute for Infection Biology, I work on malaria genomics, conducting single-cell analyses, and analysing amplicon-sequencing data to study malaria transmission dynamics.
I am also working on a project with protein language models, using evolutionary search to study how protein sequences navigate its learned representation landscape and whether different trajectories reveal reproducible patterns of convergence.
Timeline
Joined the Max Planck Institute for Infection Biology as a Bioinformatics Student Assistant.
Relocated to Berlin to begin my M.Sc. in Bioinformatics at Freie Universität Berlin.
Submitted a Google Summer of Code proposal for a Nextflow pipeline tackling multiple-mapping in pathogen genomics, following discussions with a Wellcome Sanger Institute mentor.
Advanced to the interview stage of the Major League Hacking (MLH) Fellowship.