Selected for the Charite X-Student Research Group on individual immune responses, using machine learning with immunological, clinical, and genetic data.
Adina Nadeem
Bioinformatics MSc | Genomics Workflows | Biomedical Data Systems
My broad interests:
- reproducible genomics workflows
- RNA-seq and transcriptomics
- infection biology data
- biomedical statistics
I'm an MSc Bioinformatics student at Freie Universitat Berlin, currently building research experience at the Max Planck Institute for Infection Biology. I like the practical middle of bioinformatics: clean workflows, careful quality control, and results that other people can actually rerun.
My work has included RNA-seq and genomics pipelines using Python, R, Nextflow, Snakemake, Docker, and the usual command-line biology toolkit. I am especially interested in how genomic, clinical, and environmental data can be connected responsibly for precision medicine.
Right now I'm strengthening my research practice across infection biology, statistical analysis, and workflow engineering while looking for projects where biology and computation meet in a useful way.
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 Universitat Berlin.
Submitted a Google Summer of Code proposal for a pathogen-focused multiple-mapping Nextflow pipeline after discussing the project with a Wellcome Sanger Institute mentor.
Advanced to the interview stage of the Major League Hacking (MLH) Fellowship.
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