Adina Nadeem / computational biology

My Journey .

Education, research experience, and technical foundations for computational biology and machine learning research.

Education

Oct 2024 - Present

M.Sc. Bioinformatics, specialization in Data Science

Freie Universität Berlin

  • Data Science specialization with coursework and research interests across genomics, machine learning, sequence analysis, and computational biology.
  • Targeted graduation: 2027.
Completed

B.S. Bioinformatics

COMSATS University, Islamabad

  • Built a foundation in biological sciences, computational methods, statistics, and genomic analysis.
  • Shifted toward computational approaches for solving complex biological problems.

Experience

Sep 2025 - Present

Bioinformatics Student Assistant

Max Planck Institute for Infection Biology

  • Working in an infection biology setting with a focus on computational analysis and reproducible biomedical data workflows.
  • Developing stronger research practice around genomics, scientific programming, and interdisciplinary collaboration.
2025 - 2026

X-Student Research Group Participant

Charité - Universitätsmedizin Berlin

  • Selected for a research group studying individual immune responses using machine learning with immunological, clinical, and genetic data.
  • Gained experience with interdisciplinary biomedical data analysis and machine learning workflows.
Aug 2022 - Feb 2023

Research Assistant

COMSATS University, Department of Biosciences

  • Designed a Nextflow-based RNA-seq workflow for detecting polyadenylated reads from raw sequencing data.
  • Analyzed large sequencing datasets in Python and produced data quality visualizations.
  • Created a Docker image for platform-independent execution.

Skills

Languages Python, R, Bash, C++, SQL/Postgres, JavaScript, HTML/CSS, Rust beginner
Workflow Engineering Snakemake, Nextflow, Docker, conda environments, YAML configuration, reproducible reports
Genomics RNA-seq, WGS, metagenomics, transcriptomics, assembly, annotation, QC, variant workflows
Bioinformatics Tools Trimmomatic, fastp, Salmon, SAMtools, DESeq2, Seurat, Biopython, Bowtie2, BWA, BLAST, GATK, VEP, Picard
Infrastructure Linux, Git, GitHub, GitLab, AWS EC2/S3, CI/CD concepts, HPC-oriented resource configuration
Data & ML Biological representation learning, protein language model analysis, machine learning workflows, model evaluation, exploratory visualization