Medea: An omics AI agent for therapeutic discovery
Target and Antibody Discovery via AI
my Ph.D. Thesis: transformers on single cell RNA-seq as large cell models
A reproducible single-cell workflow for human liver fibrosis, MASH, and cirrhosis target discovery.
End-to-end GNN pipeline for drug–target interaction prediction and target prioritization
Insilico Medicine — AI-driven drug discovery and development
Parkinson's disease target, compound, omics, stem-cell validation and knowledge-graph benchmark dashboard
TargetIntel-IO is an explainable, rule-based tool that ranks and classifies candidate targets in anti-PD-1-resistant melanoma by therapeutic intent: antibody/IO-combination, biomarker, or small-molecule strategy, with evidence-based reasoning and benchmark-checked accuracy behind every call.
AI-powered cancer target discovery agent for precision oncology research. Input genomic variants → find matched drugs via CIViC/DGIdb/PubMed → rank by evidence. Built with LangGraph + DeepSeek API + Streamlit.
Disease-agnostic methodology stack for computational target discovery and antigen-specific therapeutic design in inflammatory/immune disorders (EGIDs, celiac, IBD, autoimmune).
IL-17 target prioritization for Plaque Psoriasis - FAIR Nextflow workflow and dashboard integrating public HTS/qHTS assay data, psoriasis omics, proteomics, protein features, structural context, and grounded LLM evidence summaries.
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