✨ Welcome to my GitHub!
I am a computational biologist and open-science advocate, motivated by mathematics and programming to transform biological complexity into computationally tractable problems. I integrate multi-omics data, build optimization-driven models that link molecular networks to drug responses, and develop open-source pipelines using high-performance computing, containerization, and workflow systems.
I hold an M.Sc. in Bioinformatics from Freie Universität Berlin (2025) and a B.Tech. in Bioinformatics from Jaypee University of Information Technology, India (2017).
Professionally, I have:
- Built and validated an optimization framework to reconstruct phosphorylation networks in triple-negative breast cancer (TNBC) using proteomics data (DOI & Code)
- Developed a physiologically-based pharmacokinetic (PBPK) model for drug distribution in the human body (Model)
- Tested a pipeline for prostate cancer biomarker discovery using gene expression data and pathway analysis, leading (Publication).
- Designed a docking workflow to screen FDA-approved drugs against the dopamine D3 receptor for potential repurposing in Schizophrenia (Poster)
I’m always glad to connect with others in bioinformatics, computational biology, and open science. Looking ahead, I aim to expand my modeling and integration methods toward precision medicine, where predictive models can guide real-world clinical decisions.
For a detailed overview of my work, visit the About and Portfolio sections of my website.
For my full CV, see the CV.
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Just messing around after stumbling across LetterPress by Gregor Niehl.
Credit/blame goes here: https://gitlab.gnome.org/gregorni