✨ 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 MSc in Bioinformatics from Freie Universität Berlin (2025) and a BTech 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
- Developed a physiologically-based pharmacokinetic (PBPK) model for drug distribution in the human body (Preprint)
- 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
You can find these and more on my portfolio and projects pages, where I also share open-source tools for phosphoproteomics analysis, viral genome reconstruction, genomic mapping, codon usage analysis, sequence alignment, and liver cancer prediction.
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.
