Daniel Trofimov

Independent biomedical AI researcher. Creator and maintainer of Robertium.

orcid.org/0009-0005-6611-6502

About

I build open-source tools for biomedical AI research.

My background is in software engineering, and I'm transitioning into biomedical informatics through hands-on project work. Robertium is my primary research project — a literature-based drug repurposing platform that applies Swanson ABC reasoning to surface cross-domain hypotheses from biomedical literature.

The catalog currently includes 1,618 outreach-quality candidates across ten therapeutic domains, with 856 novel candidates having no existing clinical trials. Full methodology is documented at /method, and the dataset is openly available under CC-BY-4.0 (DOI: 10.5281/zenodo.20110977).

I work independently, without institutional affiliation, with the goal of building methodology rigorous enough to be useful to researchers in established labs. If the work proves valuable, my long-term aim is to formalize collaboration with research groups in drug repurposing, oncology, and neurodegeneration.

Areas of focus

  • Literature-based drug discovery (Swanson ABC reasoning, knowledge graphs)
  • Cross-domain hypothesis generation in oncology and neurodegeneration
  • Open data and methodology in biomedical informatics
  • Retrospective benchmarking of computational drug repurposing methods

Open to collaboration

I'm actively interested in connecting with researchers working in:

  • Pancreatic cancer biology, particularly KRAS-driven pathways
  • Alzheimer's disease and EGFR signaling in neurodegeneration
  • Drug repurposing methodology and validation frameworks
  • Literature-based discovery and biomedical knowledge graphs

If any of Robertium's hypotheses align with your work, or if you have methodological feedback, I'd value the conversation. Reach out at daniel@robertium.com.