PhD Researcher · Plant–Microbiota · AI/ML for Biology
Decoding how microbial communities shape plant immunity using multi-omics and machine learning.

• 📚 PhD candidate exploring PRR–ligand interactions, peptidomics, and transcriptomics
• 🤖 Building predictive models (RF/XGBoost/DL) linking SynCom composition → plant traits
• 🧰 I care about reproducible research: open datasets, clean pipelines, and clear docs

• Combinatorial gRNA Designer — CHOPCHOP-powered local webapp for A. thaliana
  Python · Flask/Gunicorn · Live logs · PDF report
  ➜ https://github.com/combinatorial-grna-design

• Microbiota ↔ Transcriptome ML — Predict plant traits from SynComs + RNA-seq
  PyTorch · sklearn · SHAP · Bayesian optimization
  ➜ https://github.com/microbiota-ml-pipeline

• RNA-seq Toolkit — kallisto → DESeq2 → clustering → GO enrichment
  Snakemake · R · tidyverse · ggplot2
  ➜ https://github.com/rnaseq-toolkit

• (2025) Misregulation of the jasmonate signaling pathway leads to altered plant microbiota interaction and plant stress responses — bioRxiv
• (2021) Forecasting anthracnose-twister disease using weather based parameters: geographically weighted regression focus - Spatial Information Research
• Full list on Google Scholar

• Data archived on Zenodo with DOIs; see each repo’s CITATION.cff
• Environments pinned via environment.yml / requirements.txt
• Docker images published via GitHub Packages

• Short tutorials: kallisto/DESeq2, GO enrichment, SHAP interpretations
• Slides & notebooks: https://github.com/teaching