🌱 PhD Researcher | 🧪 Computational Mass Spectrometry | 🧬 Multi-Omics Integration | 🌍 Currently @University of Tuebingen, DE

I'm Abzer, a Biology PhD candidate at the University of Tübingen (Germany). My work lies at the intersection of metabolomics, microbiome research, and bioinformatics, with a focus on developing accessible tools for multi-omics data analysis.

I’m passionate about making science more open, scalable, and a little bit prettier (I enjoy building web apps 👩‍💻).

• 🧬 Bioinformatics & Data Science: Python, R, Pandas, scikit-learn, ggplot2, tidyverse
• 🧪 Mass Spectrometry Tools: GNPS, MZmine, FBMN,
• 🌐 Web App Dev: Streamlit, React + Tailwind (learning!)
• 🧰 Dev Tools: Git, Conda, Jupyter, Markdown, Bash, Docker(learning!)
• 🧠 Exploratory & Predictive Analysis: PCA, clustering, SVM, Random Forests, ANOVA

• 🧭 FBMN-Stats: Statistical pipeline & Streamlit tool for (GNPS2) users analyzing LC-MS/MS data
• 🔄 ChemProp2: Inferring directional biotransformations in metabolomics networks
• 🔗 Corromics: Correlation app for metabolomics + other omics (proteomics, transcriptomics)

• 🧪 PhD in Biology – University of Tübingen, Germany (2022–2025)
• 🔬 MSc in Medical Photonics – Friedrich Schiller University, Jena
• 👩‍🎓 B.E in Biomedical Engineering – Anna University, India (Dhanalakshmi Srinivasan Engineering College, Perambalur, TN)

After my PhD, I aim to transition into roles like Bioinformatics Scientist or Data Scientist in biotech or environmental research. Open to postdoc roles and industry positions in 2026.

• 💼 LinkedIn
• 📧 Email: [email protected]

“Science grows stronger when knowledge is open — over code or coffee.”